20 June 2014 DeitY-TU face database: its design, multiple camera capturing, characteristics, and evaluation
Author Affiliations +
Optical Engineering, 53(10), 102106 (2014). doi:10.1117/1.OE.53.10.102106
The development of the latest face databases is providing researchers different and realistic problems that play an important role in the development of efficient algorithms for solving the difficulties during automatic recognition of human faces. This paper presents the creation of a new visual face database, named the Department of Electronics and Information Technology-Tripura University (DeitY-TU) face database. It contains face images of 524 persons belonging to different nontribes and Mongolian tribes of north-east India, with their anthropometric measurements for identification. Database images are captured within a room with controlled variations in illumination, expression, and pose along with variability in age, gender, accessories, make-up, and partial occlusion. Each image contains the combined primary challenges of face recognition, i.e., illumination, expression, and pose. This database also represents some new features: soft biometric traits such as mole, freckle, scar, etc., and facial anthropometric variations that may be helpful for researchers for biometric recognition. It also gives an equivalent study of the existing two-dimensional face image databases. The database has been tested using two baseline algorithms: linear discriminant analysis and principal component analysis, which may be used by other researchers as the control algorithm performance score.
© 2014 Society of Photo-Optical Instrumentation Engineers (SPIE)
Mrinal Kanti Bhowmik, Kankan Saha, Priya Saha, Debotosh Bhattacharjee, "DeitY-TU face database: its design, multiple camera capturing, characteristics, and evaluation," Optical Engineering 53(10), 102106 (20 June 2014). http://dx.doi.org/10.1117/1.OE.53.10.102106


Principal component analysis




Facial recognition systems

Optical engineering


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