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Wavelet-based off-line handwritten signature verification
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Modern mathematical methods for physicists and engineers
Modern mathematical methods for physicists and engineers
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
An introduction to variable and feature selection
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Offline Geometric Parameters for Automatic Signature Verification Using Fixed-Point Arithmetic
IEEE Transactions on Pattern Analysis and Machine Intelligence
Use of Exterior Contours and Shape Features in Off-line Signature Verification
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
An introduction to ROC analysis
Pattern Recognition Letters - Special issue: ROC analysis in pattern recognition
A New Off-line Signature Verification Method based on Graph
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
Off-line Signature Verification based on the Modified Direction Feature
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
Off-line Handwritten Signature GPDS-960 Corpus
ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 02
Offline Signature Verification Using Local Interest Points and Descriptors
CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications
A Novel Approach for Detection of Alteration in Ball Pen Writings
PReMI '09 Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence
A writer-independent off-line signature verification system based on signature morphology
Proceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia
Automatic Signature Verification: The State of the Art
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
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The paper presents a novel set of features based on surroundedness property of a signature (image in binary form) for off-line signature verification. The proposed feature set describes the shape of a signature in terms of spatial distribution of black pixels around a candidate pixel (on the signature). It also provides a measure of texture through the correlation among signature pixels in the neighborhood of that candidate pixel. So the proposed feature set is unique in the sense that it contains both shape and texture property unlike most of the earlier proposed features for off-line signature verification. Since the features are proposed based on intuitive idea of the problem, evaluation of features by various feature selection techniques has also been sought to get a compact set of features. To examine the efficacy of the proposed features, two popular classifiers namely, multilayer perceptron and support vector machine are implemented and tested on two publicly available database namely, GPDS300 corpus and CEDAR signature database.