A Novel Ear Identification System for Security Applications
Shahzadi Tayyaba, Muhammad Waseem Ashraf, Nitin Afzulpurkar · International Journal of Computer and Communication Engineering · 2013
In this paper, a novel ear identification system for security applications is presented.The structure of human ear is an inimitable characteristic that remains comparatively unchanged with time.The consistent and stout features of ear can be extracted from a distance.The proposed system consists of three modules that are database module, image processing module and identification module.The system takes ear images and extracts useful information by image processing module.The resultant information and templates are stored in data base.The suspect's image after processing by image processing module is sent to identification module for assessment with the record present in database using template matching.Then the identification module makes decision regarding similarity or difference between the processed images.Finally, the decision is sent to report generator component that generates the final report.The system has been tested for 24 ear images by using templates.The results show that the system is 98% accurate.