Quality in face and iris research ensemble (Q-FIRE)
作者： P. A. Johnson , P. Lopez-Meyer , N. Sazonova , F. Hua , S. Schuckers
DOI: 10.1109/BTAS.2010.5634513
关键词: Data mining 、 Biometrics 、 Face (geometry) 、 Identification (information) 、 Facial recognition system 、 Artificial intelligence 、 Computer vision 、 Iris flower data set 、 Ideal (set theory) 、 Iris recognition 、 Metric (mathematics) 、 Computer science
摘要: Identification of individuals using biometric information has found great success in many security and law enforcement applications. Up until the present time, most research field been focused on ideal conditions available databases are constructed these conditions. There a growing interest perfection technologies at distance less than conditions, i.e. low lighting, out-of-focus blur, off angles, etc. This paper presents dataset consisting face iris videos obtained distances 5 to 25 feet varying quality. The purpose this database is set standard for quality measurement data provide means analyzing biometrie systems structure as well quantified metric based subject subset presented.
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