Human identification using ear image processing

In this paper ،we proposed a new method for human identification which can detect spectrum feature extraction with using ear shape that is one of different biometrics. Due to the use of biometric human identification method to identify new security for the population, in recent years has been highly regarded. Biometric methods of the ear is one of the best and most accurate biometric methods and the most important reason for our choice easy to use and convenient to use this method so that unlike other methods without the knowledge of his person can bring the action. In this study, we used geometric features and statistical features extracted with Gabor filter in the frequency domain with a classification method knn on a number of images available in AMI database. Recognition rate in this paper is 98%.

کلیدواژه ها:

identification ، biometric ، ear shape ، feature extraction ، classification