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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
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초록· 키워드
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Fingerprint verification is being adopted widely to provide positive identification with a high degree of confidence in all practical areas. This popular usage requires reliable methods for matching of these patterns. To meet the latest expectations, the paper presents a pair wise distance histogram method for fingerprint matching. Here, we introduced a randomized algorithm which exploits pair wise distances between the pairs of minutiae, as a basic feature for match. The method undergoes two steps for completion i.e. first it performs the matching locally then global matching parameters are calculated in second step. The proposed method is robust to common problems that fingerprint matching faces, such as scaling, rotation, translational changes and missing points etc. The paper includes the test of algorithm on various randomly generated minutiae and real fingerprints as well. The results of the tests resemble qualities and utility of method in related field.
목차
ABSTRACT
1. INTRODUCTION
2. PROBLEM FORMULATION
3. PAIR WISE DISTANCE DISTRIBUTION
4. ALGORITHM
5. ADVANTAGES OF ALGORITHM
6. IMPLEMENTATION RESULTS
7. CONCLUSION AND FUTURE WORK
Acknowledgement
8. REFERENCES
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UCI(KEPA) : I410-ECN-0101-2012-004-004265059