Using Dynamic Programming for Solving Variational Problems in Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
A fast, simple active contour algorithm for biomedical images
Pattern Recognition Letters
Progress in Automatic Signature Verification
Progress in Automatic Signature Verification
Finite-Element Methods for Active Contour Models and Balloons for 2-D and 3-D Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
An off-line signature verification system using an extracted displacement function
Pattern Recognition Letters
Genetic Snakes for Medical Images Segmentation
EvoIASP '99/EuroEcTel '99 Proceedings of the First European Workshops on Evolutionary Image Analysis, Signal Processing and Telecommunications
SIBGRAPI '02 Proceedings of the 15th Brazilian Symposium on Computer Graphics and Image Processing
A Fuzzy Perception for Off-Line Handwritten Signature Verification
BSDIA '97 Proceedings of the First Brazilian Symposium on Advances in Document Image Analysis
Static Signature Verification Employing a Kosko-Neuro-fuzzy Approach
AFSS '02 Proceedings of the 2002 AFSS International Conference on Fuzzy Systems. Calcutta: Advances in Soft Computing
Image Processing, Analysis, and Machine Vision
Image Processing, Analysis, and Machine Vision
Off-line signature verification and forgery detection using fuzzy modeling
Pattern Recognition
Force field analysis snake: an improved parametric active contour model
Pattern Recognition Letters
Segmentation of mice cerebral structures: application in Trisomy 21
International Journal of Innovative Computing and Applications
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This paper presents an experimental comparison of different hybrid snake-based algorithms for automatic offline signature verification. Offline signature verification aims to establish the degree of similarity between one given test signature and one reference signature. Our work aims to study how effective introducing fuzziness to tackle this image analysis problem. We developed several hybrid (crisp and fuzzy) snake algorithms adapted to the practical requirements of automatic signature verification. Our work compares different hybrid snake approaches for this verification problem.