Handwritten Signature Authentication Using Statistical Estimation

Author

Bandyopadhyay, Samir Kumar ; Bhattacharyya, Debnath ; Das, Poulami ; Debnath, Deepsikha

Author_Institution

Univ. of Calcutta, Kolkata

fYear

2008

fDate

24-26 April 2008

Firstpage

77

Lastpage

82

Abstract

In this paper we propose a new handwritten signature authentication scheme. The scheme consists of two main rule set algorithms and one authentication algorithm. The Algorithms are based on extensive statistical analysis, Mean variance and theory of estimation. This is an extension work of handwritten signature identification. This scheme supports the application environment and we strongly believe that "user authentication" could be a solid platform for future research and study.

Keywords

estimation theory; handwriting recognition; message authentication; statistical analysis; estimation theory; handwritten signature authentication; mean variance model; statistical estimation; Application software; Artificial neural networks; Authentication; Biometrics; Data mining; Handwriting recognition; Image edge detection; Testing; Video surveillance; Watermarking; Security; authentication; biometric; image analysis; mean variance; watermarking;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia and Ubiquitous Engineering, 2008. MUE 2008. International Conference on

Conference_Location

Busan

Print_ISBN

978-0-7695-3134-2

Type

conf

DOI

10.1109/MUE.2008.12

Filename

4505697