Abstract
A complex, hybrid intelligent system for two dimensional image matching is described, in the context of off-line signature verification. The proposed method can be used as the preprocessing step of a verification process, or it may be employed to determine the measure of similarity for two signatures. The main idea is to apply a nonlinear transformation-commonly used in remote sensing-to the images, in order to reduce their differences, and permit a more exact and reliable comparison.
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© 2001 Springer-Verlag Wien
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Valyon, J., Horváth, G. (2001). A Hybrid Intelligent System for Image Matching, Used as Preprocessing for Signature Verification. In: Kůrková, V., Neruda, R., Kárný, M., Steele, N.C. (eds) Artificial Neural Nets and Genetic Algorithms. Springer, Vienna. https://doi.org/10.1007/978-3-7091-6230-9_91
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DOI: https://doi.org/10.1007/978-3-7091-6230-9_91
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-83651-4
Online ISBN: 978-3-7091-6230-9
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