DocumentCode
3442492
Title
Pattern recognition techniques in on-line hand written signature verification - A survey
Author
Radhika, K.R. ; Sekhar, G.N. ; Venkatesha, M.K.
Author_Institution
Inf. Sci. & Eng., B.M.S. Coll. of Eng., Bangalore, India
fYear
2009
fDate
2-4 April 2009
Firstpage
216
Lastpage
221
Abstract
Over the last two decades, in the field of secure communication and financial on-line applications, we have witnessed an explosive growth in biometric personal authentication systems which are covenant with a measurable physical characteristic or behavioral trait. On-line refers to making use of the time functions of the signing process. Verification of on-line signature as a biometric modality still is challenging fields of research, since the number of pointer based devices emerges as input devices for many e-commerce and m-commerce applications. The deployment of automatic handwritten signature verification with technology still remains open for novel methods due to inter-class and intra-class variations of signature. Since the area is currently one of the most on the go and the bulk of research is very large, this survey paper covers some of the examples of the ways.
Keywords
feature extraction; handwriting recognition; hidden Markov models; image classification; image matching; automatic handwritten signature verification; behavioral trait; biometric modality; biometric personal authentication system; e-commerce application; feature extraction-based technique; financial online application; function-based technique; hidden Markov model; interclass signature variation; intraclass signature variation; m-commerce application; measurable physical characteristic; pattern recognition technique; pointer-based device; secure communication; signing process; time function; trajectory construction model; warping-based matching; Authentication; Biometrics; Explosives; Fingerprint recognition; Forgery; Handwriting recognition; Hidden Markov models; Information science; Pattern recognition; Personal digital assistants; Feature based techniques; Function based technique; Hidden Markov models; Hybrid methods; Trajectory construction models; Warping based matching;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Computing and Systems, 2009. ICMCS '09. International Conference on
Conference_Location
Ouarzazate
Print_ISBN
978-1-4244-3756-6
Electronic_ISBN
978-1-4244-3757-3
Type
conf
DOI
10.1109/MMCS.2009.5256701
Filename
5256701
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