Performance comparison of DCT, FFT, WHT & Kekre's transform for on-line signature recognition

Authors:
H. B. Kekre;V. A. Bharadi;S. Tauro;V. I. Singh;B. P. Nemade;P. P. Janrao;S. Gupta
Affiliations:
MPSTME, NMIMS University, Mumbai, India;MPSTME, NMIMS University, Mumbai, India;University of Taiwan Taiwan;TCET, Mumbai University, Mumbai, India;TCET, Mumbai University, Mumbai, India;TCET, Mumbai University, Mumbai, India;TCET, Mumbai University, Mumbai, India
Venue:
Proceedings of the International Conference & Workshop on Emerging Trends in Technology
Year:
2011

Citing 2
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Performance comparison of full 2-D DCT, 2-D Walsh and 1-D transform over row mean and column mean for iris recognition

Proceedings of the International Conference and Workshop on Emerging Trends in Technology
An introduction to biometric recognition

IEEE Transactions on Circuits and Systems for Video Technology

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Abstract

Dynamic signature is an important behavior based biometric. Dynamic features of human signature are available in case of on line signatures. Spatial Co-ordinates, pressure, azimuth, altitude variation w. r. t. time is analyzed in this paper. The signature feature vector is extracted from the captured feature points using transforms such as DCT, FFT, WHT & kekre's Transform. Derived features such as Velocity, Acceleration, velocity & Acceleration angle as well as Row & Column mean of pressure is used for analysis. Finally the performance is compared for above mentioned variations.