Patent ID: 8391559

Claim:
A method for image identification and identification result output, comprising steps of: providing an image; acquiring a feature image from the image; providing a plurality of sample images, each having respectively a standard image region and at least a non-standard image region, the standard image region having pixels corresponding to a first feature value respectively, and the non-standard image region having pixels corresponding to a second feature value respectively; performing a calculation on a third feature value of each pixel in the feature image and the first feature value or the second feature value corresponding to each pixel in the plurality of sample images to obtain a similarity index of the feature image corresponding to the plurality of sample images respectively; collecting a plurality of similarity indexes with respect to the feature image compared with the plurality of sample images; and sorting the plurality of similarity indexes and outputting at least one of comparison results, wherein the calculation is based on normalized correlation matching, wherein the first feature value and the second feature value are respectively a combination of a weight value and a greyscale value, and the third feature value is a greyscale value, and wherein normalized correlation matching is performed by dividing the product of the weight value corresponding to each pixel in the sample image, the difference between the greyscale value of each pixel and the average greyscale value in the sample image, and the difference between the greyscale value of each pixel and the average greyscale value in the feature image by the product of the standard deviation of the greyscale value of the sample image and the standard deviation of the greyscale value of the feature image.