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Optical Engineering

On-line handwritten signature verification using stroke direction coding
Author(s): Ramanujan S. Kashi; William Turin; Winston L. Nelson
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Paper Abstract

A method for the automatic verification of handwritten signatures is described. The method relies on global and local features that summarize aspects of signature shape and dynamics of signature production. We demonstrate that with the addition of our local feature based on stroke direction coding, the performance of signature verification improves significantly. The improvement is comparable with that of more sophisticated algorithms, which require much more computer resources. The current version of the program needs about 150 bytes to store a signature model and has 3% equal error rate. At the 1% false rejection point, the addition of the stroke direction information to the algorithm with only global features reduces the false acceptance rate from 13 to 7.5%. Prior to extraction of stroke direction information, signatures are normalized for position, size, and orientation using their Fourier transform. Such a scheme can also be useful in signature smoothing and compression.

Paper Details

Date Published: 1 September 1996
PDF: 8 pages
Opt. Eng. 35(9) doi: 10.1117/1.600857
Published in: Optical Engineering Volume 35, Issue 9
Show Author Affiliations
Ramanujan S. Kashi, AT&T Bell Labs. (United States)
William Turin, AT&T Bell Labs. (United States)
Winston L. Nelson, AT&T Bell Labs. (United States)


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