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A new hybrid binarization method based on Kmeans

Identifieur interne : 000070 ( Main/Exploration ); précédent : 000069; suivant : 000071

A new hybrid binarization method based on Kmeans

Auteurs : Mahmoud Soua [France] ; Rostom Kachouri [France] ; Mohamed Akil [France]

Source :

RBID : Hal:hal-01305856

English descriptors

Abstract

The document binarization is a fundamental processing step toward Optical Character Recognition (OCR). It aims to separate the foreground text from the document background. In this article, we propose a novel binarization technique combining local and global approaches using the clustering algorithm Kmeans. The proposed Hybrid Binarization, based on Kmeans (HBK), performs a robust binarization on scanned documents. According to several experiments, we demonstrate that the HBK method improves the binarization quality while minimizing the amount of distortion. Moreover, it out-performs several well-known state of the art methods in the OCR evaluation.

Url:
DOI: 10.1109/ISCCSP.2014.6877830


Affiliations:


Links toward previous steps (curation, corpus...)


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   |wiki=    Ticri/CIDE
   |area=    OcrV1
   |flux=    Main
   |étape=   Exploration
   |type=    RBID
   |clé=     Hal:hal-01305856
   |texte=   A new hybrid binarization method based on Kmeans
}}

Wicri

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