Method and system for image identification and identification result output
First Claim
Patent Images
1. A method for image identification and identification result output, comprising steps of:
- providing an image to be identified comprising a region of interest thereon;
acquiring a feature in the region of interest;
determining a rotating angle based on at least one direction according to the feature; and
comparing the image with sample images in a database corresponding to the rotating angle to obtain at least one identification result,wherein the step of comparing comprises the steps of;
acquiring a feature image from the region of interest;
acquiring the sample images in the database according to the at least one rotating angle, each sample image having respectively a standard image region and at least one 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 normalized correlation matching 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 step of acquiring the sample images comprise the steps of;
determining the size of the sample images;
providing in each of the sample images the standard image region;
providing in each of the sample images the non-standard image region;
storing the sample images in the database;
observing the identification result after a plurality times of training; and
modifying the standard image region and the non-standard image region in the sample images; and
wherein the non-standard image region is formed by providing a pixel with the first feature value and the second feature value in the standard image region according to mis-identified characters in the standard image region.
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Abstract
The present invention provides a method and a system for image identification and identification result output, which determines a location coordinate with respect to an image and a rotating angle based on at least one direction of the image according to features of the image. The image is compared to a plurality of sample images stored in a database according to the rotating angle so as to obtain at least one identification result. By means of the method and the system of the present invention, identification can be achieved with respect to various rotating angles and distances so as to improve the identification rate.
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Citations
25 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 to be identified comprising a region of interest thereon; acquiring a feature in the region of interest; determining a rotating angle based on at least one direction according to the feature; and comparing the image with sample images in a database corresponding to the rotating angle to obtain at least one identification result, wherein the step of comparing comprises the steps of; acquiring a feature image from the region of interest; acquiring the sample images in the database according to the at least one rotating angle, each sample image having respectively a standard image region and at least one 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 normalized correlation matching 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 step of acquiring the sample images comprise the steps of; determining the size of the sample images; providing in each of the sample images the standard image region; providing in each of the sample images the non-standard image region; storing the sample images in the database; observing the identification result after a plurality times of training; and modifying the standard image region and the non-standard image region in the sample images; and wherein the non-standard image region is formed by providing a pixel with the first feature value and the second feature value in the standard image region according to mis-identified characters in the standard image region. - View Dependent Claims (15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25)
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2. 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 sample image having respectively a standard image region and at least one 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, the non-standard image region being formed by providing a pixel with the first feature value and the second feature value in the standard image region according to mis-identified characters in the standard image region; an image acquiring unit capable of acquiring an image having a region of interest; a feature acquiring unit capable of acquiring a feature in the region of interest on the image; an operation and processing unit capable of determining a rotating angle based on at least one direction in the region of interest according to the feature, acquiring a feature image from the region of interest, acquiring the sample images in the database according to the at least one rotating angle, performing a normalized correlation matching 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 operation and processing unit determines the sizes of the sample images, identifies a standard image region and a non-standard image region in each of the sample images, stores the sample images in the database, obtains an identification result after training a plurality of times, and modifies the standard image region and the non-standard image region in the sample images; and an identification and output unit that is electrically connected to the operation and processing unit to output at least one identification result. - View Dependent Claims (3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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Specification