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
Automatic Eye Detection and Its Validation
TL;DR: The impact of eye locations on face recognition accuracy is studied, and an automatic technique for eye detection is introduced, and the face recognition performance is shown to be comparable to that of using manually given eye positions.
Journal ArticleDOI
Physiology-Based Face Recognition in the Thermal Infrared Spectrum
TL;DR: The proposed methodology to capture facial physiological patterns using the bioheat information contained in thermal imagery has merit and demonstrates the feasibility of the physiological framework in face recognition and open the way for further methodological and experimental research in the area.
Journal ArticleDOI
Effective representation using ICA for face recognition robust to local distortion and partial occlusion
TL;DR: This work proposes an effective part-based local representation method named locally salient ICA (LS-ICA) method for face recognition that is robust to local distortion and partial occlusion and compares it with other part- based representations such as LNMF (localized nonnegative matrix factorization) and LFA (local feature analysis).
Proceedings ArticleDOI
Beyond simple features: A large-scale feature search approach to unconstrained face recognition
David D. Cox,Nicolas Pinto +1 more
TL;DR: This work demonstrates a large-scale feature search approach to generating new, more powerful feature representations in which a multitude of complex, nonlinear, multilayer neuromorphic feature representations are randomly generated and screened to find those best suited for the task at hand.
Journal ArticleDOI
Iris Recognition: On the Segmentation of Degraded Images Acquired in the Visible Wavelength
TL;DR: This work presents a segmentation method that can handle degraded images acquired in less constrained conditions, and offers the following contributions: to consider the sclera the most easily distinguishable part of the eye in degraded images, and to run the entire procedure in deterministically linear time in respect to the size of the image.
References
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