Arabic Handwritten Word Recognition Using HMMs with Explicit State Duration

Arabic Handwritten Word Recognition Using HMMs with Explicit State Duration

We describe an offline unconstrained Arabic handwritten word recognition system based on segmentation-free approach and discrete hidden Markov models (HMMs) with explicit state duration. Character durations play a significant part in the recognition of cursive handwriting. The duration information i...

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Bibliographic Details
Main Authors: M. Sellami, A. Ennaji, A. Benouareth
Format: Article
Language:English
Published: SpringerOpen 2008-05-01
Series:EURASIP Journal on Advances in Signal Processing
Online Access:http://dx.doi.org/10.1155/2008/247354

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