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When children go missing for many years, investigators commission age-progressed images from forensic artists to depict an updated appearance. These images have anecdotal success, and systematic research has found they lead to accurate recognition rates comparable to outdated photos. The present study examines the reliability of age progressions of the same individuals created by different artists. Eight artists first generated age progressions of eight targets across three age ranges. Eighty-five participants then evaluated the similarity of these images against other images depicting the same targets progressed at the same age ranges, viewing either whole faces or faces with external features concealed. Similarities were highest over shorter age ranges and when external features were concealed. Implications drawn from theory and application are discussed.

Facial composite systems help eyewitnesses to show the appearance of criminals. However, likenesses created by unfamiliar witnesses will not be completely accurate, and people familiar with the target can find them difficult to identify. Faces are processed holistically; we explore whether this impairs identification of inaccurate composite images and whether recognition can be improved. In Experiment 1 (n = 64) an imaging technique was used to make composites of celebrity faces more accurate and identification was contrasted with the original composite images. Corrected composites were better recognized, confirming that errors in production of the likenesses impair identification. The influence of holistic face processing was explored by misaligning the top and bottom parts of the composites (cf. Young, Hellawell, & Hay, 1984). Misalignment impaired recognition of corrected composites but identification of the original, inaccurate composites significantly improved. This effect was replicated with facial composites of non-celebrities in Experiment 2 (n = 57). We conclude that, like real faces, facial composites are processed holistically: recognition is impaired because unlike real faces, composites contain inaccuracies and holistic face processing makes it difficult to perceive identifiable features. This effect was consistent across composites of celebrities and composites of people who are personally familiar. Our findings suggest that identification of forensic facial composites can be enhanced by presenting composites in a misaligned format.

Eyewitnesses are often asked to describe the appearance of an offender’s face, normally as part of a cognitive interview (CI), and then to construct a facial composite of it by selecting hair, eyes, nose, etc. Recent research indicates that facial composites of this type are rendered much-more identifiable when constructors focus on global character (holistic) judgements of the face after having recalled it in detail. Here, we investigated whether components of this so-called ‘holistic’ CI (H-CI) were applicable to newer ‘evolving’ (Darwinian) methods of face construction. We found that the face description component of the interview promoted better-quality composites than the holistic component, but the most-identifiable composites emerged when both components were used together in the same interview as an H-CI. Composites were also more identifiable following description of all features of the face than an alternative involving description of hair. Implications are discussed for real-world face-construction using evolving systems.

We investigate the effect of target familiarity on the construction of facial composites, as used by law enforcement to locate criminal suspects. Two popular software construction methods were investigated. Participants were shown a target face that was either familiar or unfamiliar to them and constructed a composite of it from memory using a typical 'feature' system, involving selection of individual facial features, or one of the newer 'holistic' types, involving repeated selection and breeding from arrays of whole faces. This study found that composites constructed of a familiar face were named more successfully than composites of an unfamiliar face; also, naming of composites of internal and external features was equivalent for construction of unfamiliar targets, but internal features were better named than the external features for familiar targets. These findings applied to both systems, although benefit emerged for the holistic type due to more accurate construction of internal features and evidence for a whole-face advantage. STATEMENT OF RELEVANCE: This work is of relevance to practitioners who construct facial composites with witnesses to and victims of crime, as well as for software designers to help them improve the effectiveness of their composite systems.

Describing a person's face can temporarily interfere with face recognition ability. We explored whether this so-called ‘verbal overshadowing effect’ (VOE) might interfere with the construction of a traditional facial composite, a face produced by the selection of individual features: hair, eyes, mouth, etc. Participants looked at an unfamiliar target and two days later constructed a single composite after (a) describing the face (verbal no-delay), (b) without describing (no-description) or (c) 30 minutes after describing (verbal delay). Composite quality was overall of poor quality but it was worse in the verbal no-delay group relative to the no-description group, suggesting the involvement of a VOE, but equivalent between verbal delay and no-description, suggesting the presence of a ‘release’ from overshadowing. The data support the revised ‘transfer inappropriate retrieval’ explanation of the VOE, and suggest that witnesses to real crimes should not proceed directly from face description to feature sele...

Face construction by selecting individual facial features rarely produces recognisable images. We have been developing a system called EvoFIT that works by the repeated selection and breeding of complete faces. Here, we explored two techniques. The first blurred the external parts of the face, to help users focus on the important central facial region. The second, manipulated an evolved face using psychologically-useful ‘holistic’ scales: age, masculinity, honesty, etc. Using face construction procedures that mirrored police work, a large benefit emerged for the holistic scales; the benefit of blurring accumulated over the construction process. Performance was best using both techniques: EvoFITs were correctly named 24.5% on average compared to 4.2% for faces constructed using a typical ‘feature’ system. It is now possible, therefore, to evolve a fairly recognisable composite from a 2 day memory of a face, the norm for real witnesses. A plausible model to account for the findings is introduced. Copyright © 2010 John Wiley & Sons, Ltd.

The police often ask witnesses and victims to construct a facial composite of people they have seen committing a crime. Research has suggested, however, that these images are of poor quality due to memory decay, the face construction method used and the presence of the external facial features (hair, ears, face shape). In the current work, the role of the most important external feature, hair, was explored. Participants were shown an unfamiliar target face and constructed a composite of it 24 hours later using a modern recognition‐based system and one of three types of hair: exact, similar or poor match to the target. Better‐matching hair was found to help participants construct a more identifiable central region of the face (eyes, brows, nose, mouth). The results highlight the importance of accurate hair at the start of the construction session. Implications for police practice are discussed.

Witnesses to and victims of serious crime are normally asked to describe the appearance of a criminal suspect, using a Cognitive Interview (CI), and to construct a facial composite, a visual representation of the face. Research suggests that focusing on the global aspects of a face, as opposed to its facial features, facilitates recognition and improves composite quality; also, that the CI enables more effective use of a composite system. The current study evaluated a novel "holistic" Cognitive Interview (H-CI). This comprised a descriptive phase, using a CI, followed by a recognition-enhancing phase, involving the attribution of seven holistic properties. Participant-witnesses watched a video of a target, then 3 to 4 hours later received either a CI or an H-CI and constructed a single composite with a standard system, PRO-fit. Composites constructed after the H-CI were correctly named more than four times as often as those after the CI, attributable to an improvement in the quality of both the internal and external parts of the face. In police work, the H-CI offers the possibility of substantially improving the identification of criminal suspects.

When children go missing for many years, police and missing persons agencies will commission the creation of age-progressed images designed to approximate the child’s current appearance. Traditionally, forensic artists have created such images by hand. Increasingly, computerized techniques are being implemented. This chapter outlines some of the major research investigating how effectively such images create recognizable likenesses of people. We begin with an overview of cases where such images are used, cover facts about craniofacial growth and development, and outline the major techniques for creating age progressions and their associated challenges. We conclude with future directions based on new, cutting-edge research.

Witness and victims of serious crime are normally requested to construct a facial composite of a suspect's face. While modern systems for constructing composites have been evaluated extensively in the U.K., this is not the case in the U.S. In the current work, two popular computerized systems in the US, FACES and Identikit 2000, were evaluated against a 'reference' system, PRO-fit, where performance is established. In experiment 1, witnesses constructed a composite with both PRO-fit and FACES using a realistic procedure. The resulting composites were very poorly named, but the PRO-fit emerged best in 'cued' naming and two supplementary measures: composite sorting; and likeness ratings. In experiment 2, PRO-fit was compared with Identikit 2000, a sketch-like feature system. Spontaneous naming was again very poor, but both cued naming and sorting suggested that the systems were similar. The results support previous findings that modern systems do not produce identifiable composites.

Facial caricatures exaggerate the distinctive features of a face and may elevate the recognition of a familiar face. We investigate whether the recognition of facial composites, or pictures of criminal faces, could be similarly enhanced. In this study, participants first estimated the degree of caricature necessary to make composites most identifiable. Contrary to expectation, an anti-caricature was found to be best, presumably as this tended to reduce the appearance of errors. In support of this explanation, more positive caricature estimates were assigned to morphed composites: representations which tend to contain less overall error. In addition, anti-caricaturing reduced identification for morphed composites but enhanced identification for individual composites. While such improvements were too small to be of value to law enforcement, a sizeable naming benefit was observed when presenting a range of caricature states, which appeared to capitalise on individual differences in the internal representation of familiar faces.

Three experiments are reported that compare the quality of external with internal regions within a set of facial composites using two matching-type tasks. Composites are constructed with the aim of triggering recognition from people familiar with the targets, and past research suggests internal face features dominate representations of familiar faces in memory. However the experiments reported here show that the internal regions of composites are very poorly matched against the faces they purport to represent, while external feature regions alone were matched almost as well as complete composites. In Experiments 1 and 2 the composites used were constructed by participant-witnesses who were unfamiliar with the targets and therefore were predicted to demonstrate a bias towards the external parts of a face. In Experiment 3 we compared witnesses who were familiar or unfamiliar with the target items, but for both groups the external features were much better reproduced in the composites, suggesting it is the process of composite construction itself which is responsible for the poverty of the internal features. Practical implications of these results are discussed.

Purpose – The purpose of this paper is to investigate whether the presence of a whole-face context during facial composite production facilitates construction of facial composite images. Design/methodology/approach – In Experiment 1, constructors viewed a celebrity face and then developed a facial composite using PRO-fit software in one of two conditions: either the full-face was visible while facial features were selected, or only the feature currently being selected. The composites were named by different participants. The authors then replicated the study using a more forensically valid procedure: in Experiment 2 non-football fans viewed an image of a premiership footballer and 24 hours later constructed a composite of the face with a trained software operator. The resulting composites were named by football fans. Findings – In both studies, the presence of the facial context promoted more identifiable facial composites. Research limitations/implications – Current composite software was deployed in a conventional and unconventional way to demonstrate the importance of facial context. Practical implications – Results confirm that composite software should have the whole-face context visible to witnesses throughout construction. Although some software systems do this, there remain others that present features in isolation and these findings show that these systems are unlikely to be optimal. Originality/value – This is the first study to demonstrate the importance of a full-face context for the construction of facial composite images. Results are valuable to police forces and developers of composite software.

This work was supported in part by an award from the UK Economic and Social Research Council (RES-000-22-4150) to Dr Charity Brown and Dr Charlie Frowd The own-age bias (OAB) refers to recognition memory being more accurate for people of our own age than other age groups (e.g., Wright and Stroud, 2002). This paper investigated whether the OAB effect is present during construction of human faces (also known as facial composites, often for forensic/police use). In doing so, it adds to our understanding of factors influencing both facial memory across the life span as well as performance of facial composites. Participant-witnesses were grouped into younger (19-35 years) and older (51-80 years) adults, and constructed a single composite from memory of an own- or cross-age target face using the feature-based composite system PRO-fit. They also completed the shortened version of the glasgow face matching test (GFMT; Burton et al., 2010). A separate group of participants who were familiar with the relevant identities attempted to name the resulting composites. Correct naming of the composites revealed the presence of an OAB for older adults, who constructed moreidentifiable composites of own-age than cross-age faces. For younger adults, age of target face did not influence correct naming and their composites were named at the same level as those constructed by older adults for younger targets. Also, there was no reliable correlation between face perception ability and composite quality. Overall, correct naming was fairly good across the experiment, and indicated benefit for older witnesses for older targets. Results are discussed in terms of contemporary theories of OAB, and implications of the work for forensic practice. Publisher PDF

There are various types of evidence that can help bring a criminal to justice. Some are valuable at the early stages of an investigation, for instance when a suspect is named from CCTV footage by a member of the public (see Chapter 9). Other evidence is important later and can be used to confirm or refute whether a suspect is likely to have committed a particular offence. A suspect may, for instance, be picked out of an identity parade (Chapter 6), or an expert may be called upon to qualify the match between the suspect’s face and a CCTV image (Chapter 10). In some investigations, however, the available evidence does not result in a suspect being identified. In these situations, the police may ask eyewitnesses to construct a likeness or facial composite of the offender’s face. Facial composites have played a significant role in policing for about four decades. They are primarily used as an investigative tool, to enable a person familiar with the offender (e.g., a police officer or member of the public) to put a name to the face. Until recently, composites had very low correct naming rates (5%), suggesting that few offenders were identified, although this level of performance is arguably better than the alternative of not utilising composites at all.

An evaluation of E-FIT, PROfit, Sketch, Photofit and EvoFIT composite construction techniques was carried out in a “forensically friendly format”: composites of unfamiliar targets were constructed from memory following a 3–4-hour delay using a Cognitive Interview and experienced operators. The main dependent variable was spontaneous naming and overall performance was low (10% average naming rate). E-FITs were named better than all techniques except PROfit, though E-FIT was superior to PROfit when the target was more distinctive. E-FIT, PROfit and Sketch were similar overall in a composite sorting task, but Sketch emerged best for more average-looking targets. Photofit performed poorly, as did EvoFIT, an experimental system. Overall, facial distinctiveness was found to be an important factor for composite naming.

Purpose. Previous laoratory-based research suggests that facial composites, or pictures of suspected criminals, from UK computerized systems are named correctly about 20% of the time. The current work compares composites from several such systems following a more realistic interval between seeing an 'assailant' and constructing a composite. Included are those used by police in the UK (E-FIT, PROfit and sketch), and the USA (FACES), and a system in development (EvoFIT). Method. Participant-witnesses inspected a photograph of a celebrity for 1 minute and then 2 days later constructed a composite from one of these systems using a procedure closely matching that found in police work; for example, the use of a Cognitive Interview and computer operators/artists who were appropriately trained and experienced. Evaluation was assessed mainly by asking independent observers to name the composites. Two common auxiliary measures were used, requiring composites to be matched to their targets (sorting), and photographs to be chosen from an array of alternatives (line-up). Results. Composite naming was surprisingly low (3% overall), with sketches named best at 8%. Whereas composite sorting revealed a broadly similar pattern to naming, photo line-ups gave a poor match. Conclusion. With a 2 days delay to construction, the results suggest that, while likenesses can be achieved, few composites would be named in police work. The composite sorting data provide further evidence that the computerized systems tested perform equivalently but are poorer than the manually-generated sketches. Lastly, the data suggest that line-ups may be a poor instrument for evaluating facial composites.

Purpose – The purpose of this paper is to assess the impact of seven variables that emerge from forensic research on facial-composite construction and naming using contemporary police systems: EvoFIT, Feature and Sketch. Design/methodology/approach – The paper involves regression- and meta-analyses on composite-naming data from 23 studies that have followed procedures used by police practitioners for forensic face construction. The corpus for analyses contains 6,464 individual naming responses from 1,069 participants in 41 experimental conditions. Findings – The analyses reveal that composites constructed from the holistic EvoFIT system were over four-times more identifiable than composites from “Feature” (E-FIT and PRO-fit) and Sketch systems; Sketch was somewhat more effective than Feature systems. EvoFIT was more effective when internal features were created before rather than after selecting hair and the other (blurred) external features. Adding questions about the global appearance of the face (as part of the holistic-cognitive interview (H-CI)) gives a valuable improvement in naming over the standard face-recall cognitive interview (CI) for all three system types tested. The analysis also confirmed that composites were considerably less effective when constructed from a long (one to two days) compared with a short (0-3.5 hours) retention interval. Practical implications – Variables were assessed that are of importance to forensic practitioners who construct composites with witnesses and victims of crime. Originality/value – Using a large corpus of forensically-relevant data, the main result is that EvoFIT using the internal-features method of construction is superior; an H-CI administered prior to face construction is also advantageous (cf. face-recall CI) for EvoFIT as well as for two further contrasting production systems.

Eyewitnesses are often invited to construct a facial composite, an image created of the person they saw commit a crime that is used by law enforcement to locate criminal suspects. In the current paper, the effectiveness of composite images was investigated from traditional feature systems (E-FIT and PRO-fit), where participants (face constructors) selected individual features to build the face, and a more recent holistic system (EvoFIT), where they ‘evolved' a composite by repeatedly selecting from arrays of complete faces. Further participants attempted to name these composites when seen as an unaltered image, or when blurred, rotated, linearly stretched or converted to a photographic negative. All of the manipulations tested reduced correct naming of the composites overall except (i) for a low level of blur, for which naming improved for holistic composites but reduced for feature composites, and (ii) for 100% linear stretch, for which a substantial naming advantage was observed. Results also indicated that both featural (facial elements) and configural (feature spacing) information was useful for recognition in both types of composite system, but highly-detailed information was more accurate in the feature-based than the holistic method. The naming advantage of linear stretch was replicated using a forensically more-practical procedure with observers viewing an unaltered ¬composite sideways. The work is valuable to police practitioners and designers of facial-composite systems.

Eyewitnesses often construct a “composite” face of a person they saw commit a crime, a picture that police use to identify suspects. We described a technique (Frowd, Bruce, Ross, McIntyre, & Hancock, 2007) based on facial caricature to facilitate recognition of these images: Correct naming substantially improves when composites are seen with progressive positive caricature, where distinctive information is enhanced, and then with progressive negative caricature, the opposite. Over the course of four experiments, the underpinnings of this mechanism were explored. Positive-caricature levels were found to be largely responsible for improving naming of composites, with some benefit from negative-caricature levels. Also, different frame-presentation orders (forward, reverse, random, repeated) facilitated equivalent naming benefit relative to static composites. Overall, the data indicate that composites are usually constructed as negative caricatures.

Research has indicated that traditional methods for accessing facial memories usually yield unidentifiable images. Recent research, however, has made important improvements in this area to the witness interview, method used for constructing the face and recognition of finished composites. Here, we investigated whether three of these improvements would produce even-more recognisable images when used in conjunction with each other. The techniques are holistic in nature: they involve processes which operate on an entire face. Forty participants first inspected an unfamiliar target face. Nominally 24 hours later, they were interviewed using a standard type of cognitive interview (CI) to recall the appearance of the target, or an enhanced ‘holistic’ interview where the CI was followed by procedures for focussing on the target’s character. Participants then constructed a composite using EvoFIT, a recognition-type system that requires repeatedly selecting items from face arrays, with ‘breeding’, to ‘evolve’ a composite. They either saw faces in these arrays with blurred external features, or an enhanced method where these faces were presented with masked external features. Then, further participants attempted to name the composites, first by looking at the face front-on, the normal method, and then for a second time by looking at the face side-on, which research demonstrates facilitates recognition. All techniques improved correct naming on their own, but together promoted highly-recognisable composites with mean naming at 74% correct. The implication is that these techniques, if used together by practitioners should substantially increase the detection of suspects using this forensic method of person identification.

Recognition memory for unfamiliar faces is facilitated when contextual cues (e.g. head pose, background environment, hair and clothing) are consistent between study and test. By contrast, inconsistencies in external features, especially hair, promote errors in unfamiliar face-matching tasks. For the construction of facial composites, as carried out by witnesses and victims of crime, the role of external features (hair, ears and neck) is less clear, although research does suggest their involvement. Here, over three experiments, we investigate the impact of external features for recovering facial memories using a modern, recognition-based composite system, EvoFIT. Participant-constructors inspected an unfamiliar target face and, one day later, repeatedly selected items from arrays of whole faces, with ‘breeding’, to ‘evolve’ a composite with EvoFIT; further participants (evaluators) named the resulting composites. In Experiment 1, the important internal-features (eyes, brows, nose and mouth) were constructed more identifiably when the visual presence of external features was decreased by Gaussian blur during construction: higher blur yielded more identifiable internal-features. In Experiment 2, increasing the visible extent of external features (to match the target’s) in the presented face-arrays also improved internal-features quality, although less so than when external features were masked throughout construction. Experiment 3 demonstrated that masking external-features promoted substantially more identifiable images than using the previous method of blurring external-features. Overall, the research indicates that external features are a distractive rather than a beneficial cue for face construction; the results also provide a much better method to construct composites, one that should dramatically increase identification of offenders.

Witnesses and victims of serious crime are often required to construct a facial composite, a visual likeness of a suspect's face. The traditional method is for them to select individual facial features to build a face, but often these images are of poor quality. We have developed a new method whereby witnesses repeatedly select instances from an array of complete faces and a composite is evolved over time by searching a face model built using PCA. While past research suggests that the new approach is superior, performance is far from ideal. In the current research, face models are built which match a witness's description of a target. It is found that such 'tailored' models promote better quality composites, presumably due to a more effective search, and also that smaller models may be even better. The work has implications for researchers who are using statistical modelling techniques for recognising faces.

This paper examines two facial composite systems that present multiple faces during construction to more closely resemble natural face processing. A 'parallel' version of PRO-fit was evaluated, which presents facial features in sets of six or twelve, and EvoFIT, a system in development, which contains a holistic face model and an evolutionary interface. The PRO-fit parallel interface turned out not to be quite as good as the 'serial' version as it appeared to interfere with holistic face processing. Composites from EvoFIT were named almost three times better than PRO-fit, but a benefit emerged under feature encoding, suggesting that recall has a greater role for EvoFIT than was previously thought. In general, an advantage was found for feature encoding, replicating a previous finding in this area, and also for a novel 'holistic' interview.

Facial composites produced using traditional feature-based systems are notoriously hard to recognise. We have been developing a new more recognition-based system called EvoFIT that is performing better than other computerised approaches. In the current work, potential ways of improving performance even further were explored. It was found that asking the same person to construct two composites of a target face was successful in improving target identification. The data also found that composites constructed second were as identifiable as those constructed first, suggesting that the system does not appear to be interfering with a user's memory of a target face. The work also indicated that switching from a monochrome to a colour face model produced a slight decrement in performance. Lastly, the work replicated a previous finding that constructing a composite of a distinctive face produces a more identifiable rendition than a composite of a more average-looking face.

EvoFIT, a computerized facial composite system is being developed as an alternative to current systems. EvoFIT faces are initially presented to a witness with random characteristics, but through a process of selection and breeding, a composite is "evolved." Comparing composites constructed with E-FIT, a current system, a naming rate of 10% was found for EvoFIT and 17% for E-FIT. Analysis revealed that target age was limiting factor for EvoFIT and a second study with age-appropriate targets visible during composite construction produced a naming rate similar to E-FIT. Two more-realistic studies were conducted that involved young target faces and two current systems (E-FIT and PROfit). Composites from both of these experiments were poorly named but a significant benefit emerged for EvoFIT.

Publisher Summary This chapter describes a system that allows the evolutionary generation of near-photographic quality face images. The major anticipated use for such a system would be, allowing eyewitnesses to a crime to construct a likeness of the suspect. Current methods for doing this center on photofit-like composite systems. The user is presented with a large range of possible alternatives for major features, such as nose, mouth, and eyes and attempts to reconstruct a face piecemeal. The original photofit does not work very well, probably because it breaks the face into components in a way that we do not usually do when viewing a face. More recent systems, such as CD-fit, are far more flexible, allowing the position, size, and shape of individual features to be altered interactively on a computer. However, the essential problem of being a composite system remains. If you change, for example, the nose, our perception of the eyes and mouth may well change: we perceive faces holistically. The resultant images also look rather synthetic. The system described here produces face images by recombining principal components (eigenfaces), which are inherently global in nature and produce more photographic-like images.

It is well established that we carry stereotypes that impact on human perception and behaviour (e.g. G.W. Allport, "The nature of prejudice". Reading, MA: Addison-Wesley, 1954). Here, we investigate the possibility that we hold a stereotype for a face indicating that its owner may have a mental illness. A three-stage face-perception experiment suggested the presence of such a stereotype. Participants first rated 200 synthetic male faces from the EvoFIT facial-composite system for perceived mental illness (PMI). These faces were used to create a computer-based rating scale that was used by a second sample of participants to make a set of faces appear mentally ill. There was evidence to suggest that the faces that participants identified using the PMI scale differed along this dimension (although not entirely as expected). In the final stage of the study, another set of synthetic faces were created by artificially increasing and decreasing levels along the scale. Participants were asked to rate these items for PMI and for six criminal types. It was found that participants assigned higher PMI ratings (cf. veridical) for items with inflated PMI (although there was no reliable difference in ratings between veridical faces and faces with decreased PMI). Implications of the findings are discussed.