On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Selecting Reference Signatures for On-Line Signature Verification
ICIAP '95 Proceedings of the 8th International Conference on Image Analysis and Processing
Recent Advancements in Automatic Signature Verification
IWFHR '04 Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition
Offline Geometric Parameters for Automatic Signature Verification Using Fixed-Point Arithmetic
IEEE Transactions on Pattern Analysis and Machine Intelligence
Off-line Handwritten Signature GPDS-960 Corpus
ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 02
Learning Local Correspondences for Static Signature Verification
AI*IA '09: Proceedings of the XIth International Conference of the Italian Association for Artificial Intelligence Reggio Emilia on Emergent Perspectives in Artificial Intelligence
Automatic Signature Verification: The State of the Art
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
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This paper presents a static signature verification system based on the concept of local stability. Stable regions are detected in the signatures, during the enrolling phase, and are considered to be those regions affected by low variations of features among the training set. The stability evaluation is based on the Hamming distance. Stable regions are successively used for verification, in the running phase. A region-oriented verification strategy is considered, based on a well-defined similarity measure which takes into account the variability in signing of the writer. The experimental results, carried out on signatures from the GPDS database, demonstrate the viability of proposed approach.