Haar-like-features for query-by-string word spotting

Adam Ghorbel; Jean-Marc Ogier; Nicole Vincent

Haar-like-features for query-by-string word spotting

Adam Ghorbel ^{1, 2, *} Jean-Marc Ogier ¹ Nicole Vincent ²

* Corresponding author

1 L3I - Laboratoire Informatique, Image et Interaction

2 LIPADE - EA 2517 - Laboratoire d'Informatique Paris Descartes

Abstract : This paper addresses the problem of word spotting in handwritten documents. The method is segmentation-free and follows the query-by-string paradigm. In the paper, we focus on the first step of the whole bio-inspired process that is based on two filtering steps, which are a global filtering followed by a more local filtering after a change of observation scale. The contribution of this approach is the use and the generalization of the Haar-Like-Features for the analysis of the document images, inspired from the famous visual perception principle. Different pieces of information are extracted from the whole image before drawing a conclusion, after a process of accumulation of votes. The method is evaluated using the IAM Handwriting Database.

Keywords : Haar-Like-Features IAM Handwriting Database

Document type :

Conference papers

Domain :

Computer Science [cs]

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https://hal.univ-antilles.fr/hal-01165920
Contributor : Philippe Simon <>
Submitted on : Saturday, June 20, 2015 - 7:59:46 PM
Last modification on : Thursday, April 11, 2019 - 4:02:18 PM
Long-term archiving on: Tuesday, April 25, 2017 - 5:38:48 PM

IGS_2015_submission_33.pdf

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