Abstract
The human ear recognition based on phase-based matching algorithm
Highlights
In impressive of last few years, Human Ear recognition has been becoming a very attractive in biometric authentication
The important reasons behind human ear biometric over other biometric modalities are smaller in size, very stable shape has proven by clinical observation (Rutty, Abbas, & Crossling, 2005), uniform colors, and does not affected by any expression like face or changes in age or position or rotation (Malathy, Annapurani, & Sadiq, 2013)
The F2i0g15ure 2 shows different biometrics images are used by Phase-only Correlation (POC) and Band-limited Phase Only Correlation (BLPOC) algorithm over the years for instance finger vein, finger print, iris, retinal, palm print as well as finger knuckle print except ear biometric
Summary
In impressive of last few years, Human Ear recognition has been becoming a very attractive in biometric authentication. The F2i0g15ure 2 shows different biometrics images are used by POC and BLPOC algorithm over the years for instance finger vein, finger print, iris, retinal, palm print as well as finger knuckle print except ear biometric. This paper proposes human ear recognition based on phase-base matching algorithm. Enrollment process carries out the process that involves feature extraction of POC and BLPOC technique This feature extraction minimizes the ear images into mathematical phase information. Verification process arrive the same process for extracting features of POC and BLPOC technique which generates the phase information. This feature extraction converts the ear images into mathematical phase information.
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