An attempt to improve Eigenface algorithm efficiency for colour images

• Autorzy: Orczyk T. , Porwik P.
• Języki publikacji: EN

Abstrakty

EN

This article presents an attempt to improve Eigenface algorithm efficiency by using image pre–filtering in order to eliminate background areas of the picture and illumination influence. The background is treated as noise, so when noise is present then efficiency of the algorithm decreases. In order to eliminating this inconvenience, analysed image is pre–filtered by means of the colour classifier. The classifier eliminates pixels which have different colour than an average human skin colour on a digital photo. This causes that the Eigenface algorithm is less sensitive to background noise. The illumination influence was minimized by using hue information instead of traditionally used luminance. The main advantage of the proposed approach is possibility of using in environments where diverse image background texture and scene illumination appears. The eigenfaces technique can be applied in handwriting analysis, voice recognition, hand gestures interpretation and medical imaging.

Słowa kluczowe

EN

face recognition; PCA; eigenface; colour filtering

PL

rozpoznanie twarzy; filtrowanie kolorowe

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2010
• Tom: Vol. 16
• Strony: 201--207
• Opis fizyczny: Bibliogr. 7 poz., rys., tab.

Twórcy

autor

Orczyk T.

• University of Silesia, Institute of Computer Science, 41-200 Sosnowiec, Będzińska 39, Poland

autor

Porwik P.

Bibliografia

• [1] TURK M., PENTLAND A., Face recognition using eigenfaces, Proc. Of IEEE Conference on Computer Vision and Pattern Recognition (CVRP91) , 1991, pp. 586–591.
• [2] TURK M., PENTLAND A. Eigenfaces for recognition, Journal of Cognitive Neuroscience, 3(1) , 1991, pp. 71–86.
• [3] SIROVICH L., KIRBY M. Low-dimensional procedure for the characterization of human faces, Journal of the Optical Society of America, 4(3) , 1987, pp. 519–524.
• [4] ORCZYK T., PORWIK P., The new rule based colour classifier in the problem of human skin colour detection, Journal of Medical Informatics&Technologies, Vol. 14, 2010, pp. 39–48.
• [5] WANG Y., YUAN B., A novel approach for human face detection from color images under complex background, Institute of Information Science, Northern Jiaotong University, Beijing 100044, People's Republic of China, 2000.
• [6] KOVAC J., PEER P., SOLINA F., Human Skin Colour Clustering for Face Detection, Computer as a Tool. The IEEE Region 8 Vol. 2, Issue , 22-24 Sept. 2003, pp. 144–148.
• [7] The Georgia Tech Face Database, http://www.anefian.com/research/face_reco.htm