FACE DETECTION IN COLOR IMAGES USING SKIN COLOR, LAPLACIAN OF GAUSSIAN AND EULER NUMBER

被引：0

作者：

Shylaja, S. S. ^{[1
]}

Murthy, K. N. Balasubramanya ^{[1
]}

Natarajan, S. ^{[1
]}

Ramya, S. ^{[1
]}

Radhika, S. ^{[1
]}

Nikita, J. ^{[1
]}

Prateek, R. ^{[1
]}

机构：

[1] PES Inst Technol, Dept Informat Sci & Engn, Bangalore, Karnataka, India

来源：

SECOND INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING | 2010年 / 7546卷

关键词：

Digital Image Processing; LoG; Euler Number; Golden Ratio; Receiver Operating Characteristics (ROC);

D O I：

10.1117/12.853491

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

In this a paper, a feature based approach to face detection has been proposed using an ensemble of algorithms. The method uses chrominance values and edge features to classify the image as skin and nonskin regions. The edge detector used for this purpose is Laplacian of Gaussian (LoG) which is found to be appropriate when images having multiple faces with noise in them. Eight connectivity analysis of these regions will segregate them as probable face or nonface. The procedure is made more robust by identifying local features within these skin regions which include number of holes, percentage of skin and the golden ratio. The method proposed has been tested on color face images of various races obtained from different sources and its performance is found to be encouraging as the color segmentation cleans up almost all the complex facial features. The result obtained has a calculated accuracy of 86.5% on a test set of 230 images.

引用

页数：8

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