METHOD AND SYSTEM FOR IMAGE IDENTIFICATION AND IDENTIFICATION RESULT OUTPUT
First Claim
1. 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, wherein the standard image region has pixels corresponding to a first feature value respectively, and the non-standard image region has 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.
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Accused Products
Abstract
The present invention provides a method and system for image identification and identification result output, wherein a feature image under identification acquired from an image is compared with a plurality of sample images respectively stored in a database so as to obtain a plurality of similarity indexes associated with the plurality of sample images respectively. Each similarity index represents similarity between the feature image and the corresponding sample image. Thereafter, the plurality of similarity indexes are sorted and then a least one of comparison results is output. The present invention is further capable of being used for identifying identification marks with respect to a carrier. By sorting the similarity index with respect to each feature forming the identification marks, it is capable of outputting many sets of combinations corresponding to the identification marks so as to improve speed for targetting suspected carrier and enhance the identification efficiency.
45 Citations
26 Claims
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1. A method for image identification and identification result output, comprising steps of:
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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, wherein the standard image region has pixels corresponding to a first feature value respectively, and the non-standard image region has 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. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A method for image identification and identification result output, comprising steps of:
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providing an image of a carrier with an identification mark thereon; acquiring from the image a plurality of feature images with respect to the identification mark; providing a plurality of sample images, each having respectively a standard image region and at least a non-standard image region, wherein the standard image region has pixels corresponding to a first feature value respectively, and the non-standard image region has pixels corresponding to a second feature value respectively; performing a calculation on a third feature value of each pixel in the plurality of feature images 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 each feature image corresponding to the plurality of sample images respectively; collecting a plurality of similarity indexes with respect to each feature image compared with the plurality of sample images; and sorting the plurality of similarity indexes corresponding to the identification mark and outputting at least one of comparison results. - View Dependent Claims (9, 10, 11, 12, 13, 14, 15, 16, 17)
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18. A system for image identification and identification result output, comprising:
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a database capable of providing a plurality of sample images, each having respectively a standard image region and at least a non-standard image region, wherein the standard image region has pixels corresponding to a first feature value respectively, and the non-standard image region has pixels corresponding to a second feature value respectively; an image acquiring unit capable of acquiring an image of an object; a feature acquiring unit capable of acquiring a feature image from the image; an operation and processing unit capable of 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, and sorting a plurality of similarity indexes and outputting at least one of comparison results; and an identification and output unit being connected to the operation and processing unit to output the comparison result identified by the operation and processing unit. - View Dependent Claims (19, 20, 21, 22, 23, 24, 25, 26)
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Specification