Fusion of handwritten word classifiers
Pattern Recognition Letters - Special issue on fuzzy set technology in pattern recognition
Pattern classification: a unified view of statistical and neural approaches
Pattern classification: a unified view of statistical and neural approaches
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Off-Line Cursive Handwriting Recognition System
IEEE Transactions on Pattern Analysis and Machine Intelligence
An HMM-Based Approach for Off-Line Unconstrained Handwritten Word Modeling and Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Holistic Verification of Handwritten Phrases
IEEE Transactions on Pattern Analysis and Machine Intelligence
On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey
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Optical Character Recognition for Cursive Handwriting
IEEE Transactions on Pattern Analysis and Machine Intelligence
Reject Management in a Handwriting Recognition System
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Optimizing Error-Reject Trade off in Recognition Systems
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Cursive script recognition applied to the processing of bank cheques
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IWFHR '02 Proceedings of the Eighth International Workshop on Frontiers in Handwriting Recognition (IWFHR'02)
Confidence Modeling for Verification Post-Processing for Handwriting Recognition
IWFHR '02 Proceedings of the Eighth International Workshop on Frontiers in Handwriting Recognition (IWFHR'02)
Rejection Measures for Handwriting Sentence Recognition
IWFHR '02 Proceedings of the Eighth International Workshop on Frontiers in Handwriting Recognition (IWFHR'02)
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
A Two-Stage HMM-Based System for Recognizing Handwritten Numeral Strings
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
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ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Large vocabulary off-line handwritten word recognition
Large vocabulary off-line handwritten word recognition
Lexical Post-Processing Optimization for Handwritten Word Recognition
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Integration of Contextual Information in Handwriting Recognition Systems
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Offline Recognition of Unconstrained Handwritten Texts Using HMMs and Statistical Language Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast Two-Level HMM Decoding Algorithm for Large Vocabulary Handwriting Recognition
IWFHR '04 Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition
Rejection Strategies for Handwritten Word Recognition
IWFHR '04 Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition
An overview of character recognition focused on off-line handwriting
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Pattern Recognition Letters
On-line Arabic handwriting recognition system based on visual encoding and genetic algorithm
Engineering Applications of Artificial Intelligence
A method for combining complementary techniques for document image segmentation
Pattern Recognition
A method for combining complementary techniques for document image segmentation
Pattern Recognition
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Artificial Intelligence Review
Attention-Feedback Based Robust Segmentation of Online Handwritten Isolated Tamil Words
ACM Transactions on Asian Language Information Processing (TALIP)
Automatic detection of musicians' ancillary gestures based on video analysis
Expert Systems with Applications: An International Journal
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This paper presents a novel approach for the verification of the word hypotheses generated by a large vocabulary, offline handwritten word recognition system. Given a word image, the recognition system produces a ranked list of the N-best recognition hypotheses consisting of text transcripts, segmentation boundaries of the word hypotheses into characters, and recognition scores. The verification consists of an estimation of the probability of each segment representing a known class of character. Then, character probabilities are combined to produce word confidence scores which are further integrated with the recognition scores produced by the recognition system. The N-best recognition hypothesis list is reranked based on such composite scores. In the end, rejection rules are invoked to either accept the best recognition hypothesis of such a list or to reject the input word image. The use of the verification approach has improved the word recognition rate as well as the reliability of the recognition system, while not causing significant delays in the recognition process. Our approach is described in detail and the experimental results on a large database of unconstrained handwritten words extracted from postal envelopes are presented.