Person identification based on multi-biometric characteristics

Traditionally biometric features like fingerprint and iris pattern are used for unique identification of a person. Recent evolution in biometric is use of ear for identification. A system is presented here for person identification using ear features and or thumbprint. In our system, minutiae points extracted from scanned thumb print of a person and digitally captured ear image is processed to extract ear features (Helix rim, Lobule, Triangularfossa, Concha and Tragus). These extracted features are stored into database for matching process. The minutiae points are used to uniquely identify a person and in matching process projection lines used 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%. The matching algorithm will be using this text data to find target person profile.