DocumentCode :
2119722
Title :
The Algorithm of On-Line Handwritten Signature Verification Based on Hide Markov Model
Author :
Luan, Fang-Jun ; Lin, Lan ; Cheng, Hai
Author_Institution :
Inf. & Control Eng. Fac., ShenYang Jianzhu Univ., Shenyang, China
fYear :
2009
fDate :
17-19 Oct. 2009
Firstpage :
1
Lastpage :
5
Abstract :
An extracting method of special points in signature is presented. The special points are used as signature segmented points, and the extraction and selection of each segment features are analyzed. The algorithm of on-line handwritten signature verification based on Hidden Markov Model (HMM) is presented and examined availably by the signature database from SVC 2004 (First International Signature Verification Competition).
Keywords :
feature extraction; handwriting recognition; hidden Markov models; image segmentation; feature extraction; feature selection; hidden Markov model; online handwritten signature verification; signature segmented point; Artificial intelligence; Character recognition; Control engineering; Data mining; Electronic mail; Handwriting recognition; Hidden Markov models; Sampling methods; Spatial databases; Static VAr compensators;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4129-7
Electronic_ISBN :
978-1-4244-4131-0
Type :
conf
DOI :
10.1109/CISP.2009.5302784
Filename :
5302784
Link To Document :
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