DocumentCode
604913
Title
Signature matching with automated cheque system
Author
Mane, K.T. ; Pujari, V.G.
Author_Institution
Dept. of Inf. Technol., D.Y. Patil Coll. of Eng. & Tech, Kolhapur, India
fYear
2013
fDate
1-2 March 2013
Firstpage
166
Lastpage
169
Abstract
Signature is a behavioral trait of an individual and forms a special class of handwriting in which legible letters or words may not be exhibited. The purpose of this paper is to design a new system to make the verification of signatures size and angle invariant for cheque system. The invariance can be achieved by scaling and rotational manipulations on the target image. That is the number of crests, toughs and curves remains the same irrespective of the size and orientation of the image. The ratio between consecutive crests and troughs there by remain the same and hence can be used to determine the genuineness of a signature. This system will be used in financial and business to automatic signature verification. It also includes the verification of the account number and amount on the cheque using OCR(Optical Character Recognition) and finds out if the cheque is cleared or bounced.
Keywords
cheque processing; feature extraction; handwriting recognition; image matching; optical character recognition; OCR; angle invariant verification; automated cheque system; automatic signature verification; crest-trough ratio; handwriting; legible letters; optical character recognition; rotational manipulation; scaling manipulation; signature matching; signature size verification; Databases; Feature extraction; Forgery; Intelligent systems; Optical character recognition software; Vectors; Dilation; Feature extraction; OCR; Thinning; image processing; segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems and Signal Processing (ISSP), 2013 International Conference on
Conference_Location
Gujarat
Print_ISBN
978-1-4799-0316-0
Type
conf
DOI
10.1109/ISSP.2013.6526895
Filename
6526895
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