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Use of exterior contours and shape features in off-line signature verification

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2 Author(s)
Siyuan Chen ; Center of Excellence for Document Anal. & Recognition, State Univ. of New York, Buffalo, NY, USA ; Sargur Srihari

An approach to off-line signature verification, one with an on-line flavor, is described. A sequence of data is obtained by tracing the exterior contour of the signature which allows the application of string-matching algorithms. The upper and lower contours of the signature are first determined by ignoring small gaps between signature components. The contours are combined into a single sequence so as to define a pseudo-writing path. To match two signatures a non-linear normalization method, viz., dynamic time warping, is applied to segment them into curves. Shape descriptors based on Zernike moments are extracted as features from each segment. A harmonic distance is used for measuring signature similarity. Performance is significantly better than that of a word-shape based signature verification method. When the two methods are combined, the overall performance is significantly better than either method alone. With a database of 1320 genuines and 1320 forgeries the combination method has an accuracy of 95% (with 20% rejection) which is comparable to that of on-line systems.

Published in:

Document Analysis and Recognition, 2005. Proceedings. Eighth International Conference on

Date of Conference:

29 Aug.-1 Sept. 2005