Identity Determination with Offline Handwritten Input Using Multi Kernel Feature Combination

Authors:
Ehtesham Hassan;Santanu Chaudhury;M. Gopal
Affiliations:
-;-;-
Venue:
ICFHR '10 Proceedings of the 2010 12th International Conference on Frontiers in Handwriting Recognition
Year:
2010

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The current state of art: handwriting a behavioral biometric for person identification and verification

Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Off-line hand written input based identity determination using multi kernel feature combination

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Abstract

The paper presents three novel features for handwritten data based identity recognition. A novel framework for combining the features for identification is presented. The framework combines the features in kernel space in MKL based framework. The application of features individually and in combination is presented for writer recognition and signature verification. The writer recognition results have been presented for Devanagari script input and signature verification results have been presented for open dataset [1]. The experiments have shown encouraging results.