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Conference papers
Haar-like-features for query-by-string word spotting
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
Cited literature [10 references]
https://hal.univ-antilles.fr/hal-01165920
Contributor : Philippe Simon <>
Submitted on : Saturday, June 20, 2015 - 7:59:46 PM
Last modification on : Thursday, October 8, 2020 - 11:50:06 AM
Long-term archiving on: : Tuesday, April 25, 2017 - 5:38:48 PM
Contributor : Philippe Simon <>
Submitted on : Saturday, June 20, 2015 - 7:59:46 PM
Last modification on : Thursday, October 8, 2020 - 11:50:06 AM
Long-term archiving on: : Tuesday, April 25, 2017 - 5:38:48 PM
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IGS_2015_submission_33.pdf
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