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University of Balamand > Academics > Research > Seminars > Ramy El-Hajj

Cursive Handwriting Recognition: Combination of Multi-HMMs Classifiers Based on Oriented Fragmentation

ENST Paris

ABSTRACT: A new system for off-line recognition of handwritten texts is presented. The proposed system is based on an analytical approach and is composed by a two-stages structure. In the first stage, a new strategy for features’ extraction, based on oriented fragmentation is implemented. The post-treatment stage consists of a combination of Multi-HMMs Classifiers. The results of performance’s evaluation of a reference system are presented. And the enhancement of the recognition performance brought by the application of the new approach is shown.
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