Biometrics recognition makes more concentration by the society with lot of emerging technologies. The pinna is one among an ideal root of data for personal identification. Pinna can be easily acquired from a long without fully cooperation. It has lot of specific and unique features for recognizing a person. It has distinctiveness and permanence. In this research we presented a new algorithm for pinna recognition based on geometrical features extraction. A median filter is implied to remove the noise. The sobel edge detection is performed to extract the pinna image. Damerau Levenshtein method is used for distance calculation of the feature extraction phase. Fuzzy Feature Matching (FFM) is used for find the similarities between the input and the template pinna images. Experimental results shows that the algorithm works well with the all nature. Here we found a better 95.37% of accuracy in matching.

Acquisition, Bayesian Extraction, Identification, Noise