Title :
Real time signature recognition: A method for personal identification
Author :
Gazzolo, G. ; Bruzzone, L.
Author_Institution :
Siric Informatica, Rome, Italy
Abstract :
A methodology for the identification of individuals is presented. Using the geometrical, dynamic, and graphological characteristics of a set of signatures, the proposed algorithm generates a reference vector. In the validation phase the vector of the signature under evaluation is compared, in real time, with the reference vector for acceptance or rejection
Keywords :
handwriting recognition; optical character recognition; real-time systems; geometrical characteristics; graphological characteristics; personal identification; reference vector; validation phase; Acceleration; Character generation; Frequency; Geometry; Graphics; Harmonic analysis; Pattern analysis; Pattern recognition; Virtual colonoscopy; Writing;
Conference_Titel :
Document Analysis and Recognition, 1993., Proceedings of the Second International Conference on
Conference_Location :
Tsukuba Science City
Print_ISBN :
0-8186-4960-7
DOI :
10.1109/ICDAR.1993.395639
