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Biometric Signature Processing &Recognition Using Radial Basis Function Network

Ankit Chadha, NehaSatam ., Vibha Wali


Automatic recognition of signature is a challenging
problem which has received much attention during recent years due
to its many applications in different fields. Signature has been used
for long time for verification and authentication purpose. Earlier
methods were manual but nowadays they are getting digitized. This
paper provides an efficient method to signature recognition using
Radial Basis Function Network. The network is trained with sample
images in database. Feature extraction is performed before using
them for training. For testing purpose, an image is made to undergo
rotation-translation-scaling correction and then given to network. The
network successfully identifies the original image and gives correct
output for stored database images also. The method provides
recognition rate of approximately 80% for 200 samples.


Database, Feature Extraction, Radial Basis Function Network, Signature Recognition.

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