TAILIEUCHUNG - Oto-ID: Ear recognition and shape based human detection for user identification

This paper introduces Oto-ID: Ear Recognition and Shape-based Human Detection for User Identification. It is a user identification system that is designed to provide security over prolonged user interaction. It aims to provide solution to misrepresentation in asynchronous examination. | Journal of Automation and Control Engineering Vol. 3, No. 2, April 2015 Oto-ID: Ear Recognition and Shape-based Human Detection for User Identification Kathleen Mae Alay-ay, Michelle Anne L. Meralpis, David Riane Romero, Ricky F. Sison, and Benilda Eleonor V. Comendador College of Computer and Information Sciences, Sta. Mesa, Manila, Philippines Email: { kathleenalayay, Mitchmeralpis, davidriane_romero, rickysison }@, bennycomendador@ in misrepresentation. [3] According to this study, with the existing methods, it is necessary to ask the students to provide two or more biometrics multiple times for the duration of an examination even though it may cause some inconvenience. As emphasized in the study, a good authentication system should include one physiological biometrics and one behavioral biometric for prolonged user interaction. Ref. [4] A physiological biometrics makes use of unique physical characteristics to identify a single identity. Meanwhile, behavioral biometrics makes use of the behavioral characteristics of an individual. The use of ear recognition as a recognition system is a relatively young topic in biometrics compared to face, iris and others but it delivers great results just like face recognition. [5] Ear Recognition has certain advantages over the more established biometrics, as ears have a stable structure that does not suffer from the changes of age, emotions, skin-color, cosmetics and hairstyles. Ref. [6] Ears, just like palm vein structure and fingerprint, have an average permanence over time compared to iris, retina and DNA that are the most permanent biometric identifier, and to facial structure, signature and voice biometric characteristics that are most likely to undergo variation over growth, wear and tear, aging, dirt, injury and regeneration. [7] Ear growth is proportional after first four months of birth and changes are not noticeable from the age of 8 up to 70. [8] There was a study made by Burge wherein he .

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• Shape based human detection for user identification
• Shape based human detection
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