Performance evaluation of handwritten signature verification techniques
McCabe, Alan, and Trevathan, Jarrod (2008) Performance evaluation of handwritten signature verification techniques. In: Proceedings of IASK International Conference E-Activity and Leading Technologies 2008, pp. 151-160. From: IASK International Conference E-Activity and Leading Technologies 2008, 3-5 December 2008, Madrid, Spain.
PDF (Published Version)
Restricted to Repository staff only
Handwritten Signature Verification (HSV) is a biometric method of determining an individual's identity by examining the manner in which s/he performs his/her written signature. An Off-line HSV system examines static signature characteristics such as shape, slant and size. An On-line system verifies dynamic signature features such as velocity, pressure and timing. This paper describes important techniques and achievements in on-line HSV research and assesses their performance based on published literature. This work forms the basis for a dissertation that examines techniques specific to applying Neural Networks and Hidden Markov Models to on-line HSV systems (which is documented in complementary papers).
|Item Type:||Conference Item (Refereed Research Paper - E1)|
|Keywords:||handwritten signature verification; biometric verification; type 1 and type 2 error; dynamic features; pattern analysis; fraud|
|Date Deposited:||14 Jul 2010 05:28|
|FoR Codes:||08 INFORMATION AND COMPUTING SCIENCES > 0804 Data Format > 080499 Data Format not elsewhere classified @ 100%|
|SEO Codes:||89 INFORMATION AND COMMUNICATION SERVICES > 8999 Other Information and Communication Services > 899999 Information and Communication Services not elsewhere classified @ 100%|