Karali, B (2014) Signature verification using grid based feature extraction. BTech thesis.
Signature does not depend on physical features like that of iris detection, gait, fingerprint, facial features; instead it’s a completely behavioural attribute of an individual. The field of signature verification is broadly classified into two parts i.e. online and offline. Online signature verification deals with signatures obtained from digital tablets or any such device where in addition to spatial features of the signature; time, pressure etc. information is also available. The sole purpose of this research paper is to develop an efficient signature authentication system which is still an important part of biometric identification methods.
|Item Type:||Thesis (BTech)|
|Uncontrolled Keywords:||offline signature verification, biometrics, False Acceptance Rate(FAR), False Rejection Rate(FRR), EER(Equal Error rate)|
|Subjects:||Engineering and Technology > Electronics and Communication Engineering > Image Processing|
|Divisions:||Engineering and Technology > Department of Electronics and Communication Engineering|
|Deposited By:||Hemanta Biswal|
|Deposited On:||25 Aug 2014 10:08|
|Last Modified:||25 Aug 2014 10:08|
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