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Distorted Dactylogram Matching Based on Fuzzy Interference Technique


Affiliations
1 Department of ECE, Sri Lakshmi Aammal Engineering College, Chennai, India
2 Department of ECE, Sri Lakshmi Aammal Engg. College, Chennai, India
     

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Fingerprint recognition refers to the automated methodology of characteristic or confirming the identity of an individual depend on the comparision of two fingerprints. Fingerprint recognition is one of the most growing technology in biometrics The reasons for fingerprint recognition being so familiar are the ease of acquisition, established use and acceptance when compared to other biometrics, and the reason that there are numerous (ten) sources of this biometric on every individual. Fingerprint obfuscation indicate the deliberate alteration of the fingerprint by an individual for the purpose of masking his identity. Altered fingerprints are classified into three categories. They are depend on the changes in ridge pattern due to alteration as obliterated, distorted and imitated. The projected algorithmic rule supported the trivialities depend on the minutiae extracted satisfies the important requirements and determine the alteration type automatically to reconstruct altered fingerprints. In order to conquer the drawbacks of existing techniques, we introduced an efficient and robust fingerprint matching technique via fuzzy based logic.

Keywords

Fingerprints, Alteration, Obfuscation, Minutiae Extraction, Fuzzy Based Method.
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  • Distorted Dactylogram Matching Based on Fuzzy Interference Technique

Abstract Views: 166  |  PDF Views: 3

Authors

Y. M. Saranya Das
Department of ECE, Sri Lakshmi Aammal Engineering College, Chennai, India
V. S. Geethu
Department of ECE, Sri Lakshmi Aammal Engg. College, Chennai, India

Abstract


Fingerprint recognition refers to the automated methodology of characteristic or confirming the identity of an individual depend on the comparision of two fingerprints. Fingerprint recognition is one of the most growing technology in biometrics The reasons for fingerprint recognition being so familiar are the ease of acquisition, established use and acceptance when compared to other biometrics, and the reason that there are numerous (ten) sources of this biometric on every individual. Fingerprint obfuscation indicate the deliberate alteration of the fingerprint by an individual for the purpose of masking his identity. Altered fingerprints are classified into three categories. They are depend on the changes in ridge pattern due to alteration as obliterated, distorted and imitated. The projected algorithmic rule supported the trivialities depend on the minutiae extracted satisfies the important requirements and determine the alteration type automatically to reconstruct altered fingerprints. In order to conquer the drawbacks of existing techniques, we introduced an efficient and robust fingerprint matching technique via fuzzy based logic.

Keywords


Fingerprints, Alteration, Obfuscation, Minutiae Extraction, Fuzzy Based Method.