Self-organized language modeling for speech recognition
Readings in speech recognition
An Omnifont Open-Vocabulary OCR System for English and Arabic
IEEE Transactions on Pattern Analysis and Machine Intelligence
The String-to-String Correction Problem
Journal of the ACM (JACM)
Handwritten Word Recognition Using Lexicon Free and Lexicon Directed Word
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
Handbook of Fingerprint Recognition
Handbook of Fingerprint Recognition
Recognition of Conversational Telephone Speech using the Janus Speech Engine
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97)-Volume 3 - Volume 3
Hidden Markov Model Length Optimization for Handwriting Recognition Systems
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)
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 3
Confidence-Scoring Post-Processing for Off-Line Handwritten-Character Recognition Verification
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Offline Recognition of Unconstrained Handwritten Texts Using HMMs and Statistical Language Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
Rejection Strategies for Offline Handwritten Sentence Recognition
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
N-Gram Language Models for Offline Handwritten Text 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
Error bounds for convolutional codes and an asymptotically optimum decoding algorithm
IEEE Transactions on Information Theory
Self-training Strategies for Handwriting Word Recognition
ICDM '09 Proceedings of the 9th Industrial Conference on Advances in Data Mining. Applications and Theoretical Aspects
Confidence Measures for Error Correction in Interactive Transcription Handwritten Text
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Binary segmentation with neural validation for cursive handwriting recognition
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Ensemble methods to improve the performance of an English handwritten text line recognizer
SACH'06 Proceedings of the 2006 conference on Arabic and Chinese handwriting recognition
Rejection threshold estimation for an unknown language model in an OCR task
SSPR&SPR'10 Proceedings of the 2010 joint IAPR international conference on Structural, syntactic, and statistical pattern recognition
Binary segmentation algorithm for English cursive handwriting recognition
Pattern Recognition
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This paper investigates rejection strategies for unconstrained offline handwritten text line recognition. The rejection strategies depend on various confidence measures that are based on alternative word sequences. The alternative word sequences are derived from specific integration of a statistical language model in the hidden Markov model based recognition system. Extensive experiments on the IAM database validate the proposed schemes and show that the novel confidence measures clearly outperform two baseline systems which use normalised likelihoods and local n-best lists, respectively.