Spotting Handwritten Words and REGEX using a two stage BLSTM-HMM architectureReportar como inadecuado




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1 LITIS - Laboratoire d-Informatique, de Traitement de l-Information et des Systèmes

Abstract : In this article, we propose a hybrid model for spotting words and regular expressions REGEX in handwritten documents. The model is made of the state-of-the-art BLSTM Bidirectional Long Short Time Memory neural network for recognizing and segmenting characters, coupled with a HMM to build line models able to spot the desired sequences. Experiments on the Rimes database show very promising results.

Keywords : Regular Expression Spotting REGEX Handwritten Document Handwriting Recognition BLSTM Word Spotting





Autor: Gautier Bideault - Luc Mioulet - Clément Chatelain - Thierry Paquet -

Fuente: https://hal.archives-ouvertes.fr/



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