Ear-Based Biometric System Using Artificial Intelligence

R. S. Krishna, Kolachina Srinivas, P. Anudeep, P. Vardhini
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引用次数: 0

Abstract

Biometrics is the science of identification and verifying the identity of an individual supported the physical characteristics. Biometric based identification methods have proved to be more natural. There are many methods in biometrics existing today supported pattern recognition where the characteristics taken are palm or iris or fingerprint. Our motto is to make a biometric system using the ear as the main object. Among various physiological biometrics, biometrics of ear has been found to be the foremost interesting and promising one. The ear of human goes through very small changes as the age goes on. It also has no changes as expression change. So, ear biometrics emerges as an efficient biometric method for human identification and will even be used like other biometrics. They need an expensive and stable structure that's preserved well even at the adulthood. In this paper Ear based biometric system using artificial intelligence is proposed and has been implemented using the technique of Convolutional neural network.
基于耳朵的人工智能生物识别系统
生物计量学是一门通过身体特征来识别和验证个人身份的科学。基于生物特征的识别方法已被证明是更自然的。目前已有的生物识别技术中有许多方法支持模式识别,其中所取的特征是手掌或虹膜或指纹。我们的座右铭是以耳朵为主要对象的生物识别系统。在各种生理生物识别技术中,耳部生物识别技术被认为是最有趣和最有前途的一种。随着年龄的增长,人的耳朵会发生很小的变化。它也不会随着表情的变化而变化。因此,耳部生物识别技术作为一种有效的生物识别方法出现,并将与其他生物识别技术一样得到广泛应用。它们需要一个昂贵而稳定的结构,即使在成年期也要保存得很好。本文提出了一种基于人耳的人工智能生物识别系统,并利用卷积神经网络技术实现了该系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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