IJIRCSTJournal International Journal of Innovative Research in Computer Science and Technology I S Volume 4 Issue 5 Computer Science & Engineering English September - October 2016 N N Y 2019 12 06 Computer Sciences Fuzzy Inference System Aided Personal Detection: Ear Biometrics English Y 127 132 Prashanth G.K English Y M.A.Jayaram English N Rohit K English N Ear biometric is receiving increased momentum in recent years because of various proven advantages, ear biometric system are based on the biological features of the ear, these features being extracted from the images will surely be approximate interns of their dimensions and the extent, it is exactly here the fuzzy inference system(FIS) for personal detection, for building this system around 840 right ear images were collected, processed and the shape based biometric features were elicited, the system so developed has shows excellent performance in terms of sensitivity, specificity and accuracy which are 94.11%, 100%, and 95% respectively. English Biometrics, Ear Images, Fuzzy inference system, fuzzy rules, Person identification system https://ijircst.org/abstract.php?article_id=270