Revised Edge Detection Based Feature Extraction in Biometrics

Authors

  • Gowder Praveena Hiriyan M.C.A., M.Phil., Assistant Professor, Department of Computer Science KG College Of Arts and Science, Coimbatore, India

Abstract

Digital Image Processing, enlightenment for a number of developing technologies indulges in the enhancement and intensification of the approaches in different fields. Edge Detection the key concept incorporated in Feature Extraction adds light in its path. Over the years Biometrics has provided authentication and secrecy. The changing nature of the “life measurement” due to the changes seen in the physiological and behavioral aspects has enforced an event constituting a process of combining a few of the metrics to form a relational concept. Multimodal brought forth Biometrics with new ranks.

An Adaptive Biometric system was also developed. The adaptive nature turns out be a threat. Biometric Feature Extraction when provided with enhanced Edge Detection algorithm omits the deflections caused due to small changes. Thus when combined with Multimodal Biometrics can produces highly positive results. This paper studies in brief the Biometric Technology and its enhancement made possible with the help of a highly threshold able and suppressible Edge Detection algorithm.          

Keywords: Edge Detection, Biometrics, Image processing, imaging, Feature Extraction and Feature Matching

Published

2017-06-30

How to Cite

Gowder Praveena Hiriyan. (2017). Revised Edge Detection Based Feature Extraction in Biometrics. International Journal of Innovative Computer Science & Engineering, 4(3). Retrieved from https://ijicse.in/index.php/ijicse/article/view/108

Issue

Section

Articles