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Face Image and Information Retrieval Using LBP and Sparse Coding

K. Titus Manoj Kumar, E. Stephena


Photos are the major interest of users and they are exponentially growing. Image and information retrieval using LBP and sparse coding. Integrated features method is used to retrieve the images automatically from a large database by combining shape, texture and color.  Viola Jones face detector is used to get an aligned face. LBP is applied to retrieve the images based on texture. LBP and GLCM are applied for the images and the comparison shows that LBP is efficient. The retrieved face image is recognized by sparse coding. Thus the image and information retrieved by this method can reduce the computational time and complexity.


Local Binary Pattern (LBP), Gray Level Co-Occurrence Matrix (GLCM), Sparse Coding, Image Retrieval

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