Exploring multiple feature combination strategies with a recurrent neural network architecture for off-line handwriting recognition-Reference-Cited by-同舟云学术

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Exploring multiple feature combination strategies with a recurrent neural network architecture for off-line handwriting recognition

Published:2015-02-08 Issue: Volume: Page:
ISSN:0277-786X
Container-title:SPIE Proceedings
language:
Short-container-title:

Author:

Mioulet L.,Bideault G.,Chatelain C.,Paquet T.,Brunessaux S.

Publisher

SPIE

Reference27 articles.

1. The A2iA Intercheque System: Courtesy Amount and Legal Amount Recognition for French Checks

2. Conjoined location and recognition of street names within a postal address delivery line;El-Yacoubi,1995

3. A tutorial on hidden Markov models and selected applications in speech recognition;Rabiner,1989

4. Recognition of handwritten word: first and second order hidden Markov model based approach;Kundu,1988

5. An HMM-based approach for off-line unconstrained handwritten word modeling and recognition

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Learning adaptive representations for entity recognition in the biomedical domain;Journal of Biomedical Semantics;2021-05-17

2. Handwriting recognition using cohort of LSTM and lexicon verification with extremely large lexicon;Multimedia Tools and Applications;2020-07-08

3. Efficient document image binarization using heterogeneous computing and parameter tuning;International Journal on Document Analysis and Recognition (IJDAR);2018-01-13

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