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Novel local feature extraction for age invariant face recognition
- Source :
- Expert Systems with Applications. 175:114786
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- Age variation is a major problem in the area of face recognition under uncontrolled environments such as pose variation, lighting effects, expression etc. Most of the works of this area have used discriminative feature descriptors. These discriminative feature descriptors are based on their fixed encoding which considers pixels of different radial widths for feature extraction and ignores some radii pixels which hold important discriminative information for age variation. Therefore, consideration of all the pixels of the local region is necessary for important feature extraction in the case of age invariant face recognition. This paper introduces a novel local feature descriptor to find difference pattern and dual directional relation pattern for age invariant face recognition. The proposed descriptor is applied over the preprocessed face images and its parts-periocular region i.e. left and right eye, mouth and nose region of a face image. The proposed difference pattern and dual directional relation pattern descriptors extract the texture features on the local region of a specified dimension. Chi-square metric has been used for finding the similarity between probe and gallery images. Evaluation of the proposed feature descriptor has been performed on two standard challenging datasets FGNET and MORPH for age invariant face recognition. The proposed descriptor performed well and outperformed to the existing age invariant face recognition state-of-the-art methods on FGNET dataset and also performed well on MORPH dataset.
- Subjects :
- 0209 industrial biotechnology
Pixel
business.industry
Computer science
Feature extraction
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
General Engineering
Pattern recognition
02 engineering and technology
Facial recognition system
Computer Science Applications
ComputingMethodologies_PATTERNRECOGNITION
020901 industrial engineering & automation
Discriminative model
Artificial Intelligence
Face (geometry)
Metric (mathematics)
0202 electrical engineering, electronic engineering, information engineering
Feature descriptor
Feature (machine learning)
020201 artificial intelligence & image processing
Artificial intelligence
Invariant (mathematics)
business
Subjects
Details
- ISSN :
- 09574174
- Volume :
- 175
- Database :
- OpenAIRE
- Journal :
- Expert Systems with Applications
- Accession number :
- edsair.doi...........8e09e3244e94875193c5fd6f079a2b6a