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
Abstract—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. It implements ear recognition for login and uses the human shape to continuously detect user presence. Principal Component Analysis and Feature Extraction are the approaches implemented in this study.
Index Terms—user identification, security, ear recognition, shape-based human detection, asynchronous examination
Cite: Kathleen Mae Alay-ay, Michelle Anne L. Meralpis, David Riane Romero, Ricky F. Sison, and Benilda Eleonor V. Comendador, "Oto-ID: Ear Recognition and Shape-based Human Detection for User Identification," Journal of Automation and Control Engineering, Vol. 3, No. 2, pp. 146-150, April, 2015. doi: 10.12720/joace.3.2.146-150
Index Terms—user identification, security, ear recognition, shape-based human detection, asynchronous examination
Cite: Kathleen Mae Alay-ay, Michelle Anne L. Meralpis, David Riane Romero, Ricky F. Sison, and Benilda Eleonor V. Comendador, "Oto-ID: Ear Recognition and Shape-based Human Detection for User Identification," Journal of Automation and Control Engineering, Vol. 3, No. 2, pp. 146-150, April, 2015. doi: 10.12720/joace.3.2.146-150