Feature Extraction Technique for Online Arabic Handwritten Recognition
(Sprache: Englisch)
Arabic language is the a main language of all Arabic countries, such that more than 280 million people are speaking this language as a first language and by 250 million as a second language and its alanguage of holy quran. Arabic language comes as the fifth...
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Arabic language is the a main language of all Arabic countries, such that more than 280 million people are speaking this language as a first language and by 250 million as a second language and its alanguage of holy quran. Arabic language comes as the fifth rank of most commonly used languages in the world. However, there are some other languages related to Arabic language. Arabic handwriting recognition(online and offline) is one of the problems which have been resolved by the techniques of pattern recognition. Recognition of Arabic handwriting has attracted the interest of researchers for many years. Until now it has been a challenging research area due to many issues. The feature extraction is an essential stage in the recognition systems of handwriting.
Autoren-Porträt von Mohamed Mosadag
Mosadag, MohamedMohamed Mosadag: Khartoum, Sudan, Karary University - Education:B.S & M.S of Computer Science - Current Research: PHD in computer science - Certification: Java Developer, Orecale Developer - Professional Experience:General Directorate of Telecommunications and Information SystemsLecturer in a number of Sudanese Universities.
Bibliographische Angaben
- Autor: Mohamed Mosadag
- 2018, 52 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Herausgegeben von Fttoh, Saif; Aadam, Hozaifa
- Verlag: LAP Lambert Academic Publishing
- ISBN-10: 6139907446
- ISBN-13: 9786139907441
Sprache:
Englisch
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