Biometric using human organ(EAR)

Biometrics is the science of identifying or verifying the identity of a person based on physiological or behavioral characteristics. In today’s world security plays a very important role in organizations and particularly computer systems .Biometric authentication systems are essentially pattern recognition systems, the physiological characteristics being fingerprint, face, hand geometry, DNA and iris recognition. The main aim of the project is to develop a biometric authentication system using the ear.The process will involve several steps from acquisition of the image to the point where a positive identification can be made using the system. The image was acquired using a digital camera. The photo is then processed, stored and used for the identification process. For every individual, there are some distinct features that can be used for identification. The portion or segment that contains these unique features is known as the Region of Interest. After the raw data is obtained, the Region of Interest (ROI) which is the area containing the ear image is chosen. Feature extraction filters the uniqueness data out of the raw data and combines them into the biometric feature. The method applied for this is Edge detection. For “easy” images from the database error-free recognition was obtained. It is obvious that the structure of the ear does not change radically over time. Medical literature reports that ear growth after the first four months of birth is proportional.The rate of stretching is approximately five times greater than normal during the period from four months to the age of eight, after which it is constant until around 70 when it again increases. Since every individual has ears, it is rational to conclude that the ear is universal. Unlike the fingerprint and iris, it can be easily captured from a distance without a fully cooperative subject. This project was aimed at developing a biometric authentication system based on human ear images. In a growing need for security in various public places, ear biometrics seem to be a good solution, since ears are visible and its images can be easily taken, even without the knowledge of the examined person. Ear biometrics can be also used to enhance effectiveness of other well-known biometrics, by its implementation in multimodal systems. Since most of the methods have some drawbacks, recently, the idea of building multimodal (hybrid) biometrics systems is gaining lot of attention. Due to its advantages, ear biometrics seems to be a good choice to support well known methods like voice, hand or face identification.

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