Pattern Recognition Through Fuzzy Logic

IEEE Information Reuse and Integration Conference, 2010

5 Pages Posted: 19 Sep 2010 Last revised: 11 Mar 2015

Dibakar Pal

Executive Magistrate in India & PhD Student

Date Written: August 4, 2010

Abstract

The signature verification is a popular problem and the fuzzy approach is one of the existing techniques. The paper presents the concept of authentication by a graphical signature to validate the origin of digital documents. The process consists of encoding, decoding, transmission of data and the comparison of signatures using fuzzy logic. This work presents a methodology for addressing digital handwritten signatures and the authentication of it for validating legal operations. Data authentication is a problem. There remains always a fear that a transaction has been changed. Further, transmitting system may suffer from lossy. These problems can be solved by graphical representation of any figure to be preserved and transmitted. The main theme of the paper is the use of graphical representation for data authentication. Also the paper presents a graphic-based cryptography for digital signature. The paper discusses the use of image processing techniques, for example, to verify actual signatures as an alternative to digital signatures.
Thus it proposes a method for enhancing the process of data authentication by applying fuzzy logic to the transmission of 'graphical signatures' to enhance the authentication process.

Keywords: Pixel, Coordinates, Array, Image Processing, Pattern Recognition, Handwritten Signature, Finger Print, Voice Recognition, Eye Detection, i-v Fuzzy Sets, Pseudo Zernike Moments, Fuzzy Logic Classifier

Suggested Citation

Pal, Dibakar, Pattern Recognition Through Fuzzy Logic (August 4, 2010). IEEE Information Reuse and Integration Conference, 2010. Available at SSRN: https://ssrn.com/abstract=1679310

Dibakar Pal (Contact Author)

Executive Magistrate in India & PhD Student ( email )

7A/2/1/1
Srinath Chakrabarty Lane
Kolkata, West Bengal 700 035
India
9475692461 (Phone)

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