지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국정보처리학회 JIPS(Journal of Information Processing Systems) JIPS(Journal of Information Processing Systems) 제14권 제5호
- 발행연도
- 2018.1
- 수록면
- 1,114 - 1,135 (22page)
이용수
초록· 키워드
오류제보하기
A multiple classification system based on a new boosting technique has been approached utilizing differentbiometric traits, that is, color face, iris and eye along with fingerprints of right and left hands, handwriting,palm-print, gait (silhouettes) and wrist-vein for person authentication. The images of different biometrictraits were taken from different standard databases such as FEI, UTIRIS, CASIA, IAM and CIE. This system iscomprised of three different super-classifiers to individually perform person identification. The individualclassifiers corresponding to each super-classifier in their turn identify different biometric features and theirconclusions are integrated together in their respective super-classifiers. The decisions from individual superclassifiersare integrated together through a mega-super-classifier to perform the final conclusion usingprogramming based boosting. The mega-super-classifier system using different super-classifiers in a compactform is more reliable than single classifier or even single super-classifier system. The system has beenevaluated with accuracy, precision, recall and F-score metrics through holdout method and confusion matrixfor each of the single classifiers, super-classifiers and finally the mega-super-classifier. The differentperformance evaluations are appreciable. Also the learning and the recognition time is fairly reasonable. Thereby making the system is efficient and effective.
목차
등록된 정보가 없습니다.
참고문헌 (36)
참고문헌 신청
R. Bhati / 2010 / A comparative analysis of different neural networks for face recognition using principal component analysis, wavelets and efficient variable learning rate / Proceedings of International Conference on Computer and Communication Technology :526~531
H. Boughrara / 2012 / MLP neural network based face recognition system using constructive training algorithm / Proceedings of International Conference on Multimedia Computing and Systems :233~238
S. H. Moi / 2014 / A unified approach for unconstrained off-angle iris recognition / Proceedings of International Symposium on Biometrics and Security Technologies :39~44
Z. Lin / 2010 / Iris recognition method based on the imaginary coefficients of Morlet wavelet transform / Proceedings of the 7th International Conference on Fuzzy Systems and Knowledge Discovery :573~577
J. Luo / 2008 / An improved fingerprint recognition algorithm using EBFNN / Proceedings of the 2nd International Conference on Genetic and Evolutionary Computing :504~507
H. Boughrara / 2012 / MLP neural network based face recognition system using constructive training algorithm / Proceedings of International Conference on Multimedia Computing and Systems :233~238
S. H. Moi / 2014 / A unified approach for unconstrained off-angle iris recognition / Proceedings of International Symposium on Biometrics and Security Technologies :39~44
Z. Lin / 2010 / Iris recognition method based on the imaginary coefficients of Morlet wavelet transform / Proceedings of the 7th International Conference on Fuzzy Systems and Knowledge Discovery :573~577
J. Luo / 2008 / An improved fingerprint recognition algorithm using EBFNN / Proceedings of the 2nd International Conference on Genetic and Evolutionary Computing :504~507
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