The source camera identification problem is focused on by using support vector machines.A new algorithm for the problem is proposed based on noise features of imaging sensor.In order to obtain its denoised version

denoising algorithms are used to operate single color channel image of digital Image.Subtract the denoised version from the original image to get noise statistical features.These features are used to design source identification algorithm in the form of a feature vector.Using support vector machines to determine the brand or model of camera used to capture each digital image.Experimental results demonstrate that the proposed method can effectively identify the correct camera brands/models with better accuracy.