Handwritten signature recognition using departure of images from independence

Author

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

Author_Institution

Dept. of Comput. Sci. & Eng., Univ. of Calcutta, Kolkata

fYear

2008

fDate

3-5 June 2008

Firstpage

964

Lastpage

969

Abstract

In this paper we propose a new Handwritten Signature Recognition Algorithm. The Algorithm is based on pixel-to-pixel relationship between Images. The Algorithms are based on extensive statistical analysis, Standard Deviation, variance and Theory of Cross-Correlation. This is an extension work of Handwritten Signature Identification. This Algorithm supports the application environment and we strongly believe that "User Recognition" could be a solid platform for future research and study based on statistics and probability theory.

Keywords

correlation theory; data encapsulation; handwriting recognition; handwritten character recognition; image coding; statistical analysis; watermarking; cross-correlation theory; data hiding; handwritten signature recognition algorithm; image departure; pixel-to-pixel relationship; standard deviation; statistical analysis; user recognition; watermarking; Artificial neural networks; Authentication; Computer science; Handwriting recognition; Image edge detection; Image recognition; Probability; Statistics; Testing; Watermarking; Security; authentication; correlation and biometric; image analysis; watermarking;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics and Applications, 2008. ICIEA 2008. 3rd IEEE Conference on

Conference_Location

Singapore

Print_ISBN

978-1-4244-1717-9

Electronic_ISBN

978-1-4244-1718-6

Type

conf

DOI

10.1109/ICIEA.2008.4582658

Filename

4582658