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| Drawing Style Recognition of Facial Sketch Based on Multiple Kernel Learning |
| ZHANG Ming-Jin1, LI Jie1, WANG Nan-Nan2 |
1.School of Electronic Engineering, Xidian University, Xi′an 710071
2.School of Telecommunications Engineering, Xidian University, Xi′an 710071 |
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Abstract The drawing style recognition of facial sketches is widely used for painting authentication and criminal investigation. A drawing style recognition algorithm of facial sketch based on multiple kernel learning is presented. Firstly, according to the way of art critics recognize the drawing style of facial sketch, five parts, the face part, left eye part, right eye part, nose part and mouth part, are extracted from the facial sketch. Then, gray histogram feature, gray moment feature, speeded-up robust feature and multiscale local binary pattern feature are extracted from each part on the basis of artists′ different understandings of lights and shadows on a face and various usages of the pencil . Finally, different parts and features are integrated and the drawing styles of facial sketches are classified by multiple kernel learning. Experimental results demonstrate that the proposed algorithm has better performance and obtains higher recognition rates.
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Received: 18 September 2014
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2015, Vol. 28 
