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Content Based Image Recognition
Content based image retrieval is a difficult methodology of capturing relevant pictures from a large space for storing. Although this area has been explored for decades, no technique has achieved the accuracy of human visual perception in distinguishing pictures. We used a set of features vector by extracting totally different quite options that has its own significance like we tend to use texture options extracted by GLCM matrix that considers however usually a pixel with the intensity value i happens in a specific spatial relationship to a pixel with the value j, Gabor filter, which is a powerful texture extraction technique either in describing the content of image regions or the global content of a picture. Color histogram as a global color feature and histogram intersection as color similarity metric. Except these statistical features and wavelet features are also utilized in combination of above features set.