Title :
Development of biometric security system using CBIR and EER
Author :
Aravind G; Andan H M;Tripty Singh;Glence Joseph
Author_Institution :
Department of Computer Science and Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Bengaluru, India
fDate :
4/1/2015 12:00:00 AM
Abstract :
The paper discusses about the content based image retrieval systems for biometric security. As image databases are growing at a rapid rate, demand for efficient and effective tools for retrieval of images increased significantly. Among them, content-based image retrieval systems (CBIR) have become very popular for browsing, searching and retrieving images from a large database of digital images. Biometric security methods have been gaining importance increasingly in the recent years due to advances in biometrics technology and its reliability and efficiency in real world applications. Biometric security methods take into account human´s unique physical or behavioural characteristics that help to identify them. The proposed approach is based on three main features of an image: colour, texture and shape which can be incorporated into biometric security for effective security systems. The inclusion of fuzzy heuristics presents a increased accuracy on image retrieval than the existing approaches.
Keywords :
"MATLAB","Image color analysis","Biomedical imaging","Reliability","Security","Visualization","Manuals"
Conference_Titel :
Communications and Signal Processing (ICCSP), 2015 International Conference on
DOI :
10.1109/ICCSP.2015.7322622