Implementation of Feature Level Fusion of Face and Ear in Multi-Modal Biometric System

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  • Create Date 25 July, 2025
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Authors : Shradha D.Jamdar , Prof. Yogesh Golhar

Abstract – In this paper discusses a new multimodal biometric based on face and ear. Multi modal biometric system is one of the major areas of study identified with large applications in recognition system. Single modal-biometric systems have to challenge with a variety of problems such as noisy data, intra-class variations, non universality and unacceptable error rates. Some of these limitations can be solved with multi modal Biometric systems. Human Identification is the primary goal hence; Researchers have proposed various biometric human identification system are most widely used such as face, iris, fingerprint, hand and palm etc. In this paper we are going implement a multi modal biometric system. Our aim is to develop algorithms that will overcome the disadvantages of current biometric system.