Pen-input On-line Signature Verification with Position Pressure Inclination Trajectories
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 200. on IEEE International Conference - Volume 02
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On-Line Signature Verification With Two-Stage Statistical Models
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ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
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EURASIP Journal on Advances in Signal Processing - Special issue on recent advances in biometric systems: a signal processing perspective
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ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
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MRCS'06 Proceedings of the 2006 international conference on Multimedia Content Representation, Classification and Security
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Authentication of individuals is rapidly becoming animportant issue. On-line signature verification is one of themethods that use biometric features. This paper proposes anew HMM algorithm is for on-line signature verification.After preprocessing, input signature is discretized in apolar coordinate system. This particular discretizationleads to a simple procedure for assigning initial state andstate transition probabilities.This paper utilizes only pen position trajectories, noother information is used which makes the algorithmsimple and fast. A preliminary experiment shows that theproposed algorithm appears to be promising.