Recognizing handwritten Arabic script through efficient skeleton-based grapheme segmentation algorithm

Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10

Volumn , Issue , 2010, Pages 977-982

  Abandah, Gheith A ^a   Jamour, Fuad T ^a  

^a UNIVERSITY OF JORDAN   (Jordan)

Author keywords

Arabic language; Handwritten script; Letter segmentation algorithms; Optical character recognition

Indexed keywords

ARABIC LANGUAGES; ARABIC SCRIPTS; CURSIVE WORD; FEATURE POINT; HANDWRITTEN SCRIPT; IFN/ENIT-DATABASE; LETTER SEGMENTATION ALGORITHMS; RULE BASED; SEGMENTATION ALGORITHMS; STATE-OF-THE-ART ALGORITHMS;

INTELLIGENT SYSTEMS; OPTICAL CHARACTER RECOGNITION; SYSTEMS ANALYSIS;

ALGORITHMS;

EID: 79851478234     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISDA.2010.5687062     Document Type: Conference Paper

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