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.
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