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Detection and recognition of erasures in on-line captured paper forms
- Source :
- Pattern Recognition Letters, Pattern Recognition Letters, Elsevier, 2007, 28, pp.1263-1270. ⟨10.1016/j.patrec.2007.02.007⟩
- Publication Year :
- 2007
- Publisher :
- Elsevier BV, 2007.
-
Abstract
- International audience; This paper presents a method to automatically locate and recognize erasures in on-line captured handwritten documents in order to avoid a subsequent misrecognition of characters and words. We offer a comprehensive definition of the ambiguous concept of erasure in handwriting that results in a more accurate characterization of the different types of erasures. Thanks to this characterization, a preprocessing step, placed upstream of the word recognition engine, enables to classify through an MLP each couple of connected strokes as being an erasure or not using a low-level feature set. We evaluate our system on a real handwritten document database and show how our system can be tuned to operate in accordance with various recognition engines thus leading to high performance in erasure detection and recognition.
- Subjects :
- Artificial neural network
Computer science
Speech recognition
[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]
On-line recognition
020207 software engineering
02 engineering and technology
Speech processing
ComputingMethodologies_PATTERNRECOGNITION
Erasure characterization
Artificial Intelligence
Handwriting
Signal Processing
Word recognition
0202 electrical engineering, electronic engineering, information engineering
Erasure
020201 artificial intelligence & image processing
Upstream (networking)
Erasure detection
Forms
Computer Vision and Pattern Recognition
Line (text file)
Pen based applications
Software
Subjects
Details
- ISSN :
- 01678655
- Volume :
- 28
- Database :
- OpenAIRE
- Journal :
- Pattern Recognition Letters
- Accession number :
- edsair.doi.dedup.....e336624b421b38bd76623503946d0adf