The Human Ear Recognition Based On Phase-Based Matching Algorithm

Resumen

In this modern era, biometric play a vital role in authentication process for an individual identification. Broadly biometrics has been classified into anatomical and behavioral characteristics. Among the many biometrics, this paper focus on new emerging biometric named as Ear biometrics. In this paper, Phase-only Correlation (POC) and Band-limited Phase Only Correlation (BLPOC) has been proposed for ear recognition. The phase information has been obtained by calculating similarity between input and query ear image using 2D-Discrete Fourier Transform (DFT) and auto correlation function. Finally the phase-based on image matching have being success implemented for human ear recognition endeavor. The experimental resultant effect of proposed algorithm has been performed using IIT Delhi ear database.

Biografía del autor/a

Muthukumar Arunachalam, Kalasalingam Academy of Research and Education. Krishnankoil, (India).

Department of Electronics and Communication Engineering Kalasalingam Academy of Research and Education. Krishnankoil, (India).

Publicado
2020-03-23
Cómo citar
Arunachalam, M. (2020). The Human Ear Recognition Based On Phase-Based Matching Algorithm. 3C Tecnología. Glosas De Innovación Aplicadas a La Pyme, 141-157. Recuperado a partir de http://ojs.3ciencias.com/index.php/3c-tecnologia/article/view/952