Development of biometric security system using CBIR and EER

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.

I. Introduction

Internet provides people to create image databases, process and store. This has lead into increasing need to manage and search images. Therefore, finding efficient image retrieval mechanisms from large resources has become a wide area of interest to researchers. Image retrieval method is a technique for searching and retrieving images from a large database of digital images. In today's modern age commerce, hospitals, crime prevention, surveillance, engineering, architecture, journalism, fashion and graphic design, government, academics, and historical research use images for efficient services. A large collection of these images is referred to as image database. An image database is a system where image data are integrated and stored. Image data include the raw images and information extracted from images by automated or computer assisted image analysis.