원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.8 No.2
2015.02
pp.185-200
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Finger-knuckle-print (FKP) pattern has been utilized in biometric recognition systems. This paper proposes a new FKP region of interest (ROI) extraction method based on two-stage center point detection. In our method, a center point preliminary detection is constructed to capture the center point initially. Then, an efficient center point positioned algorithm is presented to locate the center point more precisely in real time. Finally, we select the Hong Kong Polytechnic University (PolyU) database to verify the efficiency of the proposed method. The experimental results show that the proposed method can extract ROI not only accurately but also in real time.
목차
Abstract
1. Introduction
2. The Proposed Method
2.1 Preprocessing
2.2 Two-stage Center Point Detection
2.3 ROI Extraction
3. Experimental Results
3.1 Experimental Database and Settings
3.2 Experiment 1
3.3 Experiment 2
3.4 Experiment 3
3.5 Experiment 4
4. Conclusion and Future Work
Acknowledgments
References
1. Introduction
2. The Proposed Method
2.1 Preprocessing
2.2 Two-stage Center Point Detection
2.3 ROI Extraction
3. Experimental Results
3.1 Experimental Database and Settings
3.2 Experiment 1
3.3 Experiment 2
3.4 Experiment 3
3.5 Experiment 4
4. Conclusion and Future Work
Acknowledgments
References
저자정보
참고문헌
자료제공 : 네이버학술정보
