DocumentCode
414225
Title
Arabic/Persian cursive signature recognition and verification using line segment distribution
Author
Chalechale, Abdolah ; Naghdy, Golshah ; Pramaratne, Prashan
Author_Institution
Sch. of Electr. Comput. & Telecommun. Eng., Wollongong Univ., NSW, Australia
fYear
2004
fDate
19-23 April 2004
Firstpage
475
Lastpage
476
Abstract
This work proposes a fast method for line segment extraction based on chain code differentiation. It is applied to cursive signature recognition of Arabic/Persian. The evaluation method is introduced to obtain a quantitative value for the recognition rate. The comparative results show the existing differences among the methods in recognition, building time and searching time criteria. The two methods used for comparison are invariant moments and CBLSE method.
Keywords
feature extraction; handwriting recognition; image segmentation; Arabic-Persian cursive signature recognition; CBLSE method; chain code differentiation; invariant moments; line segment distribution; signature verification; Application software; Computer vision; Face recognition; Feature extraction; Histograms; Image analysis; Image retrieval; Image segmentation; Shape; Telecommunication computing;
fLanguage
English
Publisher
ieee
Conference_Titel
Information and Communication Technologies: From Theory to Applications, 2004. Proceedings. 2004 International Conference on
Print_ISBN
0-7803-8482-2
Type
conf
DOI
10.1109/ICTTA.2004.1307838
Filename
1307838
Link To Document