Journal ArticleDOI
The FERET evaluation methodology for face-recognition algorithms
TLDR
Two of the most critical requirements in support of producing reliable face-recognition systems are a large database of facial images and a testing procedure to evaluate systems.Abstract:
Two of the most critical requirements in support of producing reliable face-recognition systems are a large database of facial images and a testing procedure to evaluate systems. The Face Recognition Technology (FERET) program has addressed both issues through the FERET database of facial images and the establishment of the FERET tests. To date, 14,126 images from 1,199 individuals are included in the FERET database, which is divided into development and sequestered portions of the database. In September 1996, the FERET program administered the third in a series of FERET face-recognition tests. The primary objectives of the third test were to 1) assess the state of the art, 2) identify future areas of research, and 3) measure algorithm performance.read more
Citations
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Proceedings ArticleDOI
Images can be regenerated from quantized biometric match score data
TL;DR: It is shown that it is still possible to regenerate biometric images even if biometric algorithms emit only quantized match scores, and it is concluded that the quantization of match score values does not protect against the regeneration of images from stored biometric data.
Journal ArticleDOI
Coupled Discriminative Feature Learning for Heterogeneous Face Recognition
Yi Jin,Jiwen Lu,Qiuqi Ruan +2 more
TL;DR: Experimental results on three different heterogeneous face recognition applications show the effectiveness of the proposed CDFL approach, which directly learns discriminative features from raw pixels for face representation.
Journal ArticleDOI
Multi-objective optimization for modular granular neural networks applied to pattern recognition
Patricia Melin,Daniela Sánchez +1 more
TL;DR: The proposed method aims at finding non-dominated solutions based on the number of data points for training and the recognition error using a multi-objective approach and can be used in different areas of application, such as human recognition, classification problems or time series prediction.
Journal ArticleDOI
A robust eye detection method using combined binary edge and intensity information
Jiatao Song,Zheru Chi,Jilin Liu +2 more
TL;DR: An improved face region extraction algorithm and a light dots detection algorithm are proposed for better eye detection performance.
Proceedings ArticleDOI
Genealogical face recognition based on UB KinFace database
Ming Shao,Siyu Xia,Yun Fu +2 more
TL;DR: A challenging problem raised in biometric recently, genealogical face recognition, and metric learning and transfer subspace learning are adopted to abridge the great discrepancy between children and their old parents.
References
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Journal ArticleDOI
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Journal ArticleDOI
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Journal ArticleDOI
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Baback Moghaddam,Alex Pentland +1 more
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