Title :
A survey on offline signature recognition and verification schemes
Author :
Deore, Madhuri R. ; Handore, Shubhangi M.
Author_Institution :
Dept. of Electron. & Telecommun. Eng., Trinity Coll. of Eng. & Res., Pune, India
Abstract :
Signature has been a distinguishing biometric feature. Today the human signature of a person is used as an identification of person because we are all know that the each person has distinct signature and every signature has its own physiology or behavioral characteristics. So the human signature used as a identification of person in various work like bank checks etc. The signature identification can be offline or online. We used the image processing technique for offline signature identification here no dynamic feature are available in offline identification. A brief survey on various off-line signature recognition & verification schemes is represented this paper.
Keywords :
handwriting recognition; behavioral characteristics; biometric feature; offline signature recognition scheme; offline signature verification scheme; person identification; physiology characteristics; Databases; Feature extraction; Forgery; Hidden Markov models; Image recognition; Neural networks; Approaches of signature recognition; HMM; Neural Network; Offline Signature Recognition; Preprocessing;
Conference_Titel :
Industrial Instrumentation and Control (ICIC), 2015 International Conference on
Conference_Location :
Pune
DOI :
10.1109/IIC.2015.7150731