Flor Ram?rez Rioja, Escuela Superior de Ingenier?a Mec?nica y El?ctrica Unidad Culhuacan, IPN
H?ctor P?rez Meana, Escuela Superior de Ingenier?a Mec?nica y El?ctrica Unidad Culhuacan, IPN
Karina Toscano, Escuela Superior de Ingenier?a Mec?nica y El?ctrica Unidad Culhuacan, IPN
Actually great inters to develop a robust on-line signature verification system has been increased. In this field, three kinds of forgeries: random forgery, simple forgery and expert forgery must consider. In this paper a dynamic features extraction for an on-line signature verification system is presented. The dynamic features are extracted from authentic and forged signatures witch relatively low computational cost. In the proposed system, all kind of forgeries included expert forgeries are considered to detect as forged signatures. The computer simulation results show us a desirable performance of the proposed system.
Index Terms:
Signature verification, dynamics verification, extraction of dynamics characteristics, forgery detection and off-line signature verification
Citation:
Flor Ram?rez Rioja, Mariko Nakano Miyatake, H?ctor P?rez Meana, Karina Toscano, "Dynamics features Extraction for on-Line Signature verification," conielecomp, pp.156, 14th International Conference on Electronics, Communications and Computers, 2004