Handwritten word-spotting using hidden Markov models and universal vocabularies-Reference-Cited by-同舟云学术

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Handwritten word-spotting using hidden Markov models and universal vocabularies

Published:2009-09 Issue:9 Volume:42 Page:2106-2116
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Rodríguez-Serrano José A.,Perronnin Florent

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference57 articles.

1. Word spotting for historical documents;Rath;Int. J. Doc. Anal. Recognition,2007

2. On-line and off-line handwriting recognition: a comprehensive survey;Plamondon;IEEE Trans. Pattern Anal. Mach. Intell.,2000

3. Recognition of cursive Roman handwriting—past, present and future;Bunke,2003

4. Making Latin manuscripts searchable using gHMMs;Edwards,2004

5. Searching off-line Arabic documents;Chan,2006

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1. Two-Stage Word Spotting Scheme for Historical Handwritten Devanagari Documents;Lecture Notes in Networks and Systems;2024

2. A novel multi-task learning technique for offline handwritten short answer spotting and recognition;Multimedia Tools and Applications;2023-11-20

3. Lexicon-based probabilistic indexing of handwritten text images;Neural Computing and Applications;2023-05-10

4. A survey of historical document image datasets;International Journal on Document Analysis and Recognition (IJDAR);2022-07-30

5. A bibliometric analysis of off-line handwritten document analysis literature (1990–2020);Pattern Recognition;2022-05

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