Commenced in January 2007
Paper Count: 31108
Practical Aspects of Face Recognition
Abstract:Current systems for face recognition techniques often use either SVM or Adaboost techniques for face detection part and use PCA for face recognition part. In this paper, we offer a novel method for not only a powerful face detection system based on Six-segment-filters (SSR) and Adaboost learning algorithms but also for a face recognition system. A new exclusive face detection algorithm has been developed and connected with the recognition algorithm. As a result of it, we obtained an overall high-system performance compared with current systems. The proposed algorithm was tested on CMU, FERET, UNIBE, MIT face databases and significant performance has obtained.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1330741Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1306
 Fujitsu Corp. " ATM Security changes. First in the world", http://jp.fujitsu.com/featurestory/2004/1027btm/
 Oki Electric Corp. "New ATM-Bank Machines" http://www. oki.com/jp/Home/JIS/New/OKI-News/2005/03/z04149.html
 Omron Corp. "Omron Announces Okao Face recognition sensor" http://www.omron.com/news/n_280205.html
 T.Shakunaga and K.Shigenari, "Decomposed Eigenface for Face Recognition under Various Lighting conditions", Proc of CVPR, pp. 864-871, 2001
 K.Okada, and C.Von der Malsburg, "Pose-Invariant Face Face Recognition with Parametric Linear Subspaces", Proc of IEEE International Conference on Automatic Face and Gesture Recognition pp. 71-76, 2002
 R.Lienhart, J. Maydt "An Extended Set of Haar-like Features for Rapid Object Detection" IEEE ICIP 2002, vol. 1, pp. 900-903
 J. Maydt, R.Lienhart "A Fast Method for training support vector machines with Very Large Set of Linear Features" IEEE ICME 2002
 Colorado State University "Evaluation of Face Recognition Algorithms" http://www.cs.colorstate.edu/evalfacefrec/algorithms/ algorithms_gabor.html
 S.Kawato, N.Tetsudani "Scale Adaptive Face Detection and Tracking in real time with SSR Filter and Support Vector Machine", Proc of ACCV 2004, vol.1, pp. 132-137, 2004.