Comparative Study on Feature Extractions for Ear Recognition: Comparative Study on Feature Extractions for Ear Recognition

Dayanand Bharat Gore
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Dayanand Bharat Gore: MGM Dr. G.Y. Pathrikar CS & IT Aurangabad, Aurangabad, India

International Journal of Applied Evolutionary Computation (IJAEC), 2019, vol. 10, issue 2, 8-18

Abstract: Biometrics includes the study of automatic methods for distinguishing human beings based on physical or behavioural traits. The problem of finding good biometric features and recognition methods has been researched extensively in recent years. This research considers the use of ears as a biometric for human recognition. In this article, basic feature extraction techniques are implemented such as Harris Feature, FAST Feature extraction and SURF Feature Extraction. All the images are taken from standard database and each image has different angles because of any criminal investigation, accident, or ATM machine camera taken different types of images. So, using different images feature extraction the research goes through these techniques to give the best result to the user.

Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jaec00:v:10:y:2019:i:2:p:8-18

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