Proceeding of International Conference
Toshikazu Masaki, Tetsushi Ueta, Kenji Terada, Fingerprint Identification using Fractal Coding, Proceddings of the Nonlinear Theory and Its Applications(NOLTA'99), Vol.1, 143-146, Hawaii, Dec. 1999.
Abstract: In this paper, we propose a novel method of identification of fingerprint by using fractal coding. Automatic identification of person is one of important techniques for information and security systems. Such features bases on persons physiological or behavioral characteristics are called biometrics. Fingerprint is the most suitable information as a biometric; everyone has own immutable coding technique is applied to data compression of images. We pay attentions to the basic concept of this coding method - self-similar property in a fingerprint. We develop an identification system using the compressed data of fingerprint image. We can do identifying process for compensation image by using fractal coding, and it is abstract for feature value by compressed data. Practical experiments of fingerprint extracted feature finding from compressed data are performed and experimental results are presented.