期刊名称:International Journal of Computer Science & Technology
印刷版ISSN:2229-4333
电子版ISSN:0976-8491
出版年度:2017
卷号:8
期号:1
页码:30-33
语种:English
出版社:Ayushmaan Technologies
摘要:Biometric based person identity verification is gaining more and mom attention. It has been shown that combining different biometric modalities enables to achieve better performances than single modality. So, to improve the verification accuracy, this paper combines face and fingerprint for person identity verification. And multimodal biometric fusion strategy based on weighted sum rule (WSR)is evaluated, furthermore, a new method for data normalization in validation system is proposed in this paper. Experiment results prove the effectiveness of fusion of multiple biometrics compared with single biometric, and also the better validation performance by adopting the new data normalization method.
关键词:Face Verification;Fingerprint Verification;Multi-Biometrics; Fusion Strategy;Weighted Sum Rule