Abstract

This paper examines the development of a Match Region Localization (MRL) Ear Recognition System (ERS). Captured ear images were pre-processed through cropping, and enhancement. The pre-processed ear images were segmented by MRL segmentation algorithm, where the pre-processed images were sub divided into 96 sub images. Principal features from the segmented ear were extracted and used for template generation. K-nearest Neighbour classifiers with Euclidean distance metrics were used for the classification. The developed ERS demonstrated a recognition accuracy of 96.00%. The developed system can be tested on other available public ear databases to allow for cross-database comparison. Moreover, the system can still be improved for further reduction of ERS.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.