Person unique identification based on ear's biometric features

Traditionally, thumb print and iris pattern are used for person identification as biometric features. Use of ear is recent biometric evolution for identification. A system is presented here for person identification using ear features. Digitally captured ear image is processed to extract ear features (Helix rim, Lobule, Triangularfossa, Concha and Tragus) and stored in database for matching process. Matching process uses projection lines to quantify ear features. Matching process gives matched profile as a result of system in graphical format as well as textual format with tolerance limit of ± 15%.