Home   >   CSC-OpenAccess Library   >    Manuscript Information
Colour Face Image Database for Skin Segmentation, Face Detection, Recognition and Tracking of Black Faces Under Real- Life Situations
OJO, John Adedapo, Adeniran, Solomon A
Pages - 600 - 609     |    Revised - 31-01-2011     |    Published - 08-02-2011
Volume - 4   Issue - 6    |    Publication Date - January / February  Table of Contents
skin segmentation, face detection, face recognition, face tracking
This paper presents a new face database containing only black face images. It is designed to be used for benchmarking algorithms developed for skin segmentation, face detection and recognition under real life situations. The database contains coloured images of black faces in JPEG formats taken over a period of two years (2007-2009). It contains three subfolders, where the images have been grouped for face detection, face recognition and face tracking purposes. There are over 100 images for face detection containing more than 150 face images and 600 images of ten per 60 individuals for face recognition and 10s video sequences of ten black faces. An interactive Graphic User Interface (GUI) was developed in Matlab® (7.4.1a version) for the face database providing basic information about the images as well as creating an interactive and easy to use environment.
CITED BY (7)  
1 Adejoke, E. J., & Samuel, I. T. (2015). Development of Eye-Blink and Face Corpora for Research in Human Computer Interaction. IJACSA) International Journal of Advanced Computer Science and Applications, 6(5).
2 Nadian-Ghomsheh, A. (2014). Color Constancy For Improving Skin Detection. International Journal of Image Processing (IJIP), 8(6), 479.
3 Laytner, P., Ling, C., & Xiao, Q. (2014, December). Robust face detection from still images. In Computational Intelligence in Biometrics and Identity Management (CIBIM), 2014 IEEE Symposium on (pp. 76-80). IEEE.
4 Sivakumar, V., & Murugesh, V. (2014, February). A brief study of image segmentation using Thresholding Technique on a Noisy Image. In Information Communication and Embedded Systems (ICICES), 2014 International Conference on (pp. 1-6). IEEE.
5 Abubakar, F. M. (2013). Study of image segmentation using thresholding technique on a noisy image. Int. J. Sci. Res.(IJSR), 2(1), 49-51.
6 Ojo, J., & Adeniran, S. (2013). Illumination invariant face detection using hybrid skin segmentation method. European Journal of Computer Science and Information Technology, 1(4), 1-9.
7 Wu, F., Xiao, Q., & Vo, T. D. (2013). Face image database: a test-bed for evaluation and certification of facial recognition systems. International journal of biometrics, 5(3-4), 211-228.
1 Google Scholar 
2 CiteSeerX 
3 refSeek 
4 iSEEK 
5 Socol@r  
6 Scribd 
7 WorldCat 
8 SlideShare 
9 PdfSR 
A. Tefas, Y. Menguy, O. Kotropoulos, G. Richard, I. Pitas and P.C. Lockwood. “Compensating for Variable Recording Conditions in Frontal Face Authentication Algorithms”. IEEE International Conference on Acoustics, Speech and Signal Processing, (6)3561 – 3564, 1999
A. Yip and P. Sinha. “Role of color in face recognition”. Perception, 31: 995–1003, 2002.
A.R. Martine and R. Benavente (1998), “The AR Face Database,” CVC Technical Report 24, Computer Vision Centre (CVC). Technical Report, Barcelona. Available at: http://rvll.ecn.purdue.edu/~alex/alex-face-Db.html [Accessed 12 July 2009]
A.S. Abdallah, M.A. El-Nasr and A.C. Abbott. “A New Colour Image Database for Benchmarking of Automatic Face Detection and Human Skin Segmentation Techniques”. Proceedings of World Academy of Science, Engineering and Technology, 20:353-357, 2007
F. Samaria and A. Harter (1994), Parameterization of a Stochastic Model for Human face Identification. 2nd IEEE Workshop on Applications of Computer Vision, Saratosa FL. December, 1994, pp 138-142 Available at: http://www.uk.research.att.co/faced databased.html [Accessed 20 October 2007]
J. Cai and A. Goshtasby (1999), “Detecting Human Faces in Colour-Images”. Image and Vision Computing, (18):63-75, 1999
J.A. Ojo, S.A., Adeniran and T.I. Raji (2010). “Robust Face Detection Algorithm.” Paper accepted for publication in Global Journal of Engineering & Technology, Vol 3, No 3.
J.A. Ojo, S.A., Adeniran, and T.I. Raji. “Developing Face Database for Detection and Recognition of Black Faces under Real-Life Situations”. In Book of Abstracts, 1st Postgraduate Research Symposium, Faculty of Engineering & Technology, LAUTECH, Ogbomoso, Nigeria, 10 -11th March, 2010
P. Sinha, B. Balas, O. Yuri, and R. Russell. “Face Recognition by Humans: Nineteen Results All Computer Vision Researchers Should Know About”. Proceedings of the IEEE, 94(11):1948-1962, November 2006
P. Viola and M. Jones (2004). “Robust Real-Time Face Detection.” International Journal of Computer Vision, 57(2), 137-154.
P.J. Phillips, H. Wechsler and P. Rauss “The FERET Database and Evaluation Procedure for face Recognition Algorithms”. Image and Vision Computing, 16(5):295-306, 1998
P.J. Phillips. H. Moon, S.A. Rizvi and P.J. Rauss. “The FERET Evaluation Methodology for Face-Recognition Algorithms”. IEEE Transaction on Pattern Analysis and Machine Intelligence. 22(10):1090-1104, 2000
R. Gross. “Face Database”. In S.Z. Li and A.K. Jain (Eds.) Handbook of Face Recognition. Springer-Verlag., pp. 301-328 (2005)
S.E. Umbaugh. “Computer Vision and Image Processing: A Practical Approach Using CVIP tools”. Prentice-Hall International, Inc., N.J. USA, pp. 12-24 (1998)
T. Sim, S. Baker and M. Bsat. “The CMU Pose, Illumination and Expression Database”. IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(12):1615-1618, 2003.
V. Jain and A. Mukherjee (2002), The Indian Face Database [online], Available at: http://vis-www.is.umass.edu/~vidit/IndianFaceDatabase2002 [Accessed 7 November 2008]
W. Gao, B. Cao, S. Shans, D. Zhou, X. Zhang and D. Zhao (2004) CASP-PEAL Large Scale Chinese Face Database and Evaluation Protocols Technical Report. JDL-TR-04FR-001 [online], Joint research Development laboratory. Available at: http://www.jdl.ac.cn/peal/index.html [Accessed 10 June 2008]
Y.-T, Pai, S.-J. Raun, M.-C., Shie and Y.-C. Liu (2006). “A Simple and Accurate Colour Face Detection Algorithm in Complex Background.” IEEE International Conference on Multimedia and Expo. Pp 1545-1548.
Mr. OJO, John Adedapo
- Nigeria
Mr. Adeniran, Solomon A
- Nigeria

View all special issues >>