Flexible Sequence Matching technique: An effective learning-free approach for word spotting
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- 作者：Tanmoy Mondala ; tanmoy.mondal@etu.univ-tours.fr" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Nicolas Ragota ; nicolas.ragot@univ-tours.fr" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Jean-Yves Ramela ; jean-yves.ramel@univ-tours.fr" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Umapada Palb ; umapada@isical.ac.in" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae
- 关键词：Flexible Sequence Matching (FSM) ; Dynamic Time Warping (DTW) ; Minimal Variance Matching (MVM) ; Subsequence DTW (SSDTW) ; Continuous Dynamic Programming (CDP) ; Word spotting ; Historical documents ; Handwritten documents ; Printed documents ; George Washington dataset
- 刊名：Pattern Recognition
- 出版年：2016
- 出版时间：December 2016
- 年：2016
- 卷：60
- 期：Complete
- 页码：596-612
- 全文大小：3137 K
文摘
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Flexible Sequence Matching (FSM) is introduced here and applied to word spotting.
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FSM can do partial matching, skip outliers, and one-to-one/many correspondances.
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FSM is able to spot words inside segmented lines or from improperly segmented words.
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FSM can handle word derivatives and spelling variations.
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FSM can behave as other sequence matching techniques (DTW, MVM, CDP).