Using features of local densities, statistics and HMM toolkit (HTK) for offline Arabic handwriting text recognition-Reference-Cited by-同舟云学术

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Using features of local densities, statistics and HMM toolkit (HTK) for offline Arabic handwriting text recognition

Published:2017-12 Issue:3 Volume:4 Page:387-396
ISSN:2314-7172
Container-title:Journal of Electrical Systems and Information Technology
language:en
Short-container-title:Journal of Electrical Systems and Information Technology

Author:

Hicham El Moubtahij,Akram Halli,Khalid Satori

Publisher

Springer Science and Business Media LLC

Subject

General Medicine

Reference22 articles.

1. Difficulties and challenges of recognizing Arabic text;Abuzaraida,2011

2. Survey and bibliography of Arabic optical text recognition;Al-Badr;Signal Process.,1995

3. Combination of HMM-based classifiers for the recognition of Arabic handwritten words;Al-Hajj,2007

4. Offline handwritten Arabic cursive text recognition using Hidden Markov models and re-ranking;AlKhateeb;Pattern Recognit. Lett.,2011

5. HMMs with explicit state duration applied to handwritten Arabic word recognition;Benouareth,2006

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