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ISSN 1004-9037
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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      09 May 2023, Volume 38 Issue 3
    Article

    DAMERAU LEVENSHTEIN MATHEMATICAL MODELING FOR PINNA IDENTIFICATION USING FUZZY MATCHING
    Dr. G. Jai Arul Jose1, Dr. S. Elizabeth Bernie2, Dr. R. Kavitha Jaba Malar3
    Journal of Data Acquisition and Processing, 2023, 38 (3): 66-70 . 

    Abstract

    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.

    Keyword

    Acquisition, Bayesian Extraction, Identification, Noise


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ISSN 1004-9037

         

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