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A Survey on Face Detection and Recognition Approaches

Author Affiliations

  • 1Computer Science Department COMSATS Institute of Information Technology Wah Cantt, PAKISTAN
  • 2 Department of Computer Science University of Engineering and Technology Taxila, PAKISTAN
  • 3Department of Electrical Engineering, the University of Lahore – Islamabad Campus, PAKISTAN

Res. J. Recent Sci., Volume 3, Issue (4), Pages 56-62, April,2 (2014)

Abstract

Face detection and recognition are major concerns in the area of biometric based security systems and purposes. These processes must ensure the recognition accuracy and minimum processing time. In this paper a review of existing face detection and recognition approaches is conducted to investigate the results of different approaches in terms of recognition accuracy and some of them are discussed for minimizing processing time point of view. The techniques for face detection and recognition are classified on the bases of their target application. Also, the techniques are classified and analyzed on the bases of their working domain as spatial, frequency, integrated and hardware support.

References

  1. Sharif M., Shah J. H., Mohsin S. and Raza M., Sub-Holistic Hidden Markov Model for Face Recognition, Research Journal of Recent Sciences 2(5), 10-14 (2013)
  2. Shah J., Sharif M., Raza M. and Azeem A., A Survey:Linear and Nonlinear PCA Based Face Recognition Techniques, The International Arab journal of Information technology 10(6), (2013)
  3. Murtaza M., Sharif M., Raza M. and Shah J. H., Analysis of Face Recognition Under Varying Facial Expression: A Survey The International Arab journal of Information technology 10(4), (2013)
  4. Azeem A., Sharif M., Raza M. and Murtaza M., A Survey: Face Recognition Techniques under Partial Occlusion, The International Arab Journal of Information Technology (IAJIT) 11(1), (2014)
  5. Sharif M., Mohsin S. and Javed M. Y., A Survey: Face Recognition Techniques, Research Journal of Applied Sciences 4(23), 4979-4990 (2012)
  6. Sharif M., Mohsin S., Hanan R., Javed M. and Raza M., 3D Face Recognition using Horizontal and Vertical Marked Strips, Sindh University Research Journal (SURJ) 43(01-A), (2011)
  7. Sharif M., Khalid A., Raza M. and Mohsin S., Face Detection and Recognition Through Hexagonal Image Processing, Sindh Univ. Res. Jour. (Sci. Ser.) 44(2), 541- 548 (2012)
  8. Sharif M., Raza M. and Mohsin S., Face Recognition Using Edge Information and DCT, Sindh Univ. Res. Jour. (Sci. Ser.) 43(2), 209-214 (2011)
  9. Sharif M., Mohsin S., Javed M. Y. and Ali M. A., Single Image Face Recognition Using Laplacian of Gaussian and Discrete Cosine Transforms, Int. Arab J. Inf. Technol. 9(6), 562-570 (2012)
  10. Sharif M., Mohsin S., Jamal M. J. and Raza M., Illumination Normalization Preprocessing for face recognition, Environmental Science and Information Application Technology (ESIAT), 2010 International Conference on, IEEE, 44-47 (2010)
  11. Zhu X. and Ramanan D., Face detection, pose estimation, and landmark localization in the wild, Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, IEEE, 2879-2886 (2012)
  12. Rahman M. T. and Bhuiyan M. A., Face Recognition using Gabor Filters, Computer and Information Technology, 2008. ICCIT 2008. 11th International Conference on, IEEE, 510-515 (2008)
  13. SHARIF M. and Saad A., Enhanced SVD Based Face Recognition, Journal of Applied Computer Science & Mathematics 6(12), 49-53 (2012)
  14. Kabir M. H., Jabid T. and Chae O., Local directional pattern variance (ldpv): a robust feature descriptor for facial expression recognition, Int. Arab J. Inf. Technol. 9(4), 382-391 (2012)
  15. Muhammad Sharif, Sajjad Mohsin, Muhammad Jawad Jamal, Muhammad Younas Javed and Raza M., Face Recognition for Disguised Variations Using Gabor Feature Extraction, Australian Journal of Basic and Applied Sciences, 5(6): 1648-1656, 2011 5(6), 1648-1656 (2011)
  16. Yang M. and Zhang L., Gabor feature based sparse representation for face recognition with gabor occlusion dictionary, Computer Vision–ECCV 2010, Springer, 448-461.(2010)
  17. Sharif M., Khalid A., Mudassar R. and Mohsin S., Face Recognition using Gabor Filters, Journal of Applied Computer Science & Mathematics 5(11), 53-57 (2011)
  18. Turk M. and Pentland A., Eigenfaces for recognition,Journal of cognitive neuroscience 3(1), 71-86 (1991)
  19. Shah J. H., Sharif M., Raza M. and Azeem A., Face recognition across pose variation and 3S problem, Turkish Journal of Electrical Engineering & Computer Science, (2012)
  20. Klare B., Yampolskiy R. V. and Jain A. K., Face recognition in the virtual world: recognizing avatar faces,Michigan State University, East Lansing, MI2010, (2011)
  21. Lu J., Plataniotis K. N. and Venetsanopoulos A. N., Face recognition using LDA-based algorithms, Neural Networks, IEEE Transactions on 14(1), 195-200 (2003)
  22. Bartlett M. S., Movellan J. R. and Sejnowski T. J., Face recognition by independent component analysis, Neural Networks, IEEE Transactions on 13(6), 1450-1464 (2002)
  23. Georghiades A. S., Belhumeur P. N. and Kriegman D. J., From few to many: Illumination cone models for face recognition under variable lighting and pose, Pattern Analysis and Machine Intelligence, IEEE Transactions on23(6), 643-660 (2001)
  24. Sharif M., Javed M. Y. and Mohsin S., Face Recognition Based on Facial Features, Research Journal of Applied Sciences, Engineering and Technology 4(17), 2879-2886 (2012)
  25. Sharif M., Ayub M. K., Raza M. and Mohsin S., Data Reductionality Technique for Face Recognition,Proceedings of the Pakistan Academy of Sciences 48(4), 229-234 (2011)
  26. Salman N., Image Segmentation and Edge Detection Based on Chan-Vese Algorithm, Int. Arab J. Inf. Technol. 3(1), 69-74 (2006)
  27. Shahab W., Al-Otum H. and Al-Ghoul F., A modified 2D chain code algorithm for object segmentation and contour tracing, Int. Arab J. Inf. Technol. 6(3), 250-257 (2009)
  28. Robot H. W., ICIIT 2010 Session, (2010)
  29. Sharif M., Mohsin S. and Javed M. Y., Real Time Face Detection Using Skin Detection (Block Approach), Journal of Applied Computer Science & Mathematics10(5), 75-81 (2011)
  30. Tek S. C. and Gökmen M., GPU Accelerated Real-time Object Detection on High Resolution Videos using Modified Census Transform, VISAPP (1), 685-688 (2012)
  31. Dantone M., Gall J., Fanelli G. and Van Gool L., Real-time facial feature detection using conditional regression forests,Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, IEEE, 2578-2585 (2012)
  32. Sheikh Z. G., Thakare D. V. and Sherekar D. S., Towards Retrieval of Human Face from Video Database: A novel framework, International Journal of Information Systems and Communication, ISSN, 0976-8742 (2012)
  33. Chakraborty D., An illumination invariant face detection based on human shape analysis and skin color information,Signal 3, (2012)
  34. Tan W. R., Chan C. S., Yogarajah P. and Condell J., A fusion approach for efficient human skin detection,Industrial Informatics, IEEE Transactions on 8(1), 138-147 (2012)
  35. Nikisins O. and Greitans M., Reduced complexity automatic face recognition algorithm based on Local Binary Patterns, Systems, Signals and Image Processing (IWSSIP), 2012 19th International Conference on, IEEE, 433-436 (2012)
  36. Guillaumin M., Mensink T., Verbeek J. and Schmid C., Face recognition from caption-based supervision,International Journal of Computer Vision 96(1), 64-82 (2012)
  37. Susheel Kumar K., Bhaskar Semwal V. and Tripathi R., Real time face recognition using adaboost improved fast PCA algorithm, (2011)
  38. Wood R. and Olszewska J. I., Lighting-variable AdaBoost based-on system for robust face detection, Proceedings of the 5th International Conference on Bio-Inspired Systems and Signal Processing, SciTePress Digital Library., 494-497 (2012)
  39. Guo J.-M., Lin C.-C., Wu M.-F., Chang C.-H. and Lee H., Complexity reduced face detection using probability-based face mask prefiltering and pixel-based hierarchical-feature adaboosting, Signal Processing Letters, IEEE 18(8), 447-450 (2011)
  40. Jin S., Kim D., Nguyen T. T., Kim D., Kim M. and Jeon J. W., Design and implementation of a pipelined datapath for high-speed face detection using FPGA, Industrial Informatics, IEEE Transactions on 8(1), 158-167 (2012)
  41. Sharif M., Mohsin S., Hanan R., Javed M. and Raza M., Using nose Heuristics for Efficient face Recognition,SINDH University Research Journal (Science Series) 43(1-A), 63-68 (2011)
  42. Sharif M., Ayub K., Sattar D., Raza M. and Mohsin S., Enhanced and Fast Face Recognition by Hashing Algorithm, Journal of Applied Research and Technology (JART) 10(4), 607-617 (2012)
  43. SHARIF M., AYUB K., SATTAR D. and RAZA M., Real Time Face Detection, Sindh Univ. Res. Jour. (Sci. Ser.)44(4), 597-600 (2012)
  44. Murtaza M., Sharif M., Raza M. and Shah J. H., Face Recognition Using Adaptive Margin Fisher’s Criterion and Linear Discriminant Analysis, The International Arab Journal of Information Technology (IAJIT) 11(2), (2014)
  45. Bigioi P., Zaharia C. and Corcoran P., Advanced hardware real time face detector, Consumer Electronics (ICCE), 2012 IEEE International Conference on, IEEE, 528-529 (2012)
  46. Matai J., Irturk A. and Kastner R., Design and implementation of an FPGA-based real-time face recognition system, Field-Programmable Custom Computing Machines (FCCM), 2011 IEEE 19th Annual International Symposium on, IEEE, 97-100 (2011)
  47. Cho J., Mirzaei S., Oberg J. and Kastner R., Fpga-based face detection system using Haar classifiers, Proceedings of the ACM/SIGDA international symposium on Field programmable gate arrays, ACM, 103-112 (2009)
  48. Gorbenko A. and Popov V., On Face Detection from Compressed Video Streams, Applied Mathematical Sciences 6(96), 4763-4766 (2012)
  49. Gorbenko A. and Popov V., Face Detection and Visual Landmarks Approach to Monitoring of the Environment,International Journal of Mathematical Analysis 7, 213-217 (2013)
  50. Mustafah Y., Shan T., Azman A. W., Bigdeli A. and Lovell B. C., Real-time face detection and tracking for high resolution smart camera system, Digital Image Computing Techniques and Applications, 9th Biennial Conference of the Australian Pattern Recognition Society on, IEEE, 387-393 (2007)
  51. Gao C. and Lu S.-L., Novel FPGA based Haar classifier face detection algorithm acceleration, Field Programmable Logic and Applications, 2008. FPL 2008. International Conference on, IEEE, 373-378 (2008)