Pattern identification apparatus, pattern identification method, and pattern identification program
First Claim
1. A pattern identification apparatus for identifying a predetermined pattern contained in an image, said apparatus comprising:
- a storage section in which data related to said predetermined pattern is stored;
a first collation section for making comparison and collation between data related to an image in a first area greater than an area of said predetermined pattern in said image and said data related to said predetermined pattern;
a cutting section for cutting out a second area smaller than said first area from said first area based on the result of comparison carried out by said first collation section;
a second collation section for making comparison and collation between data related to an image in said second area and said data related to said predetermined pattern; and
an identification section for identifying said predetermined pattern contained in said image based on the result of comparison carried out by said second collation section,wherein said first collation section carries out comparison and collation while shifting said predetermined pattern relative to said image in said first area one unit area by one unit area which constitutes data related to said image, thereby to calculate a difference level between said image in said first area and said predetermined pattern, and said cutting section cuts out said second area based on an amount of shift of said predetermined pattern relative to said image in said first area at the time when said difference level meets a predetermined requirement.
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Accused Products
Abstract
Collation can be carried out at a high speed without reducing the accuracy thereof, whereby processing of identifying documents is accurately performed at a high speed. To this end, characteristic data of a predetermined pattern is registered in advance. Characteristic data in a first area greater than an area of the predetermined pattern registered in advance in an image to be identified is compared and collated with characteristic data of the predetermined pattern. A second area smaller than the first area is cut out from the first area based on the result of comparison, so that characteristic data of an image in the second area is compared and collated with the characteristic data of the predetermined pattern, thus making it possible to identify the predetermined pattern contained in the image based on the result of comparison.
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Citations
16 Claims
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1. A pattern identification apparatus for identifying a predetermined pattern contained in an image, said apparatus comprising:
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a storage section in which data related to said predetermined pattern is stored; a first collation section for making comparison and collation between data related to an image in a first area greater than an area of said predetermined pattern in said image and said data related to said predetermined pattern; a cutting section for cutting out a second area smaller than said first area from said first area based on the result of comparison carried out by said first collation section; a second collation section for making comparison and collation between data related to an image in said second area and said data related to said predetermined pattern; and an identification section for identifying said predetermined pattern contained in said image based on the result of comparison carried out by said second collation section, wherein said first collation section carries out comparison and collation while shifting said predetermined pattern relative to said image in said first area one unit area by one unit area which constitutes data related to said image, thereby to calculate a difference level between said image in said first area and said predetermined pattern, and said cutting section cuts out said second area based on an amount of shift of said predetermined pattern relative to said image in said first area at the time when said difference level meets a predetermined requirement. - View Dependent Claims (2, 3)
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4. A pattern identification apparatus for identifying a predetermined pattern contained in an image, said apparatus comprising:
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a storage section in which data related to said predetermined pattern is stored; a first collation section for making comparison and collation between data related to an image in a first area greater than an area of said predetermined pattern in said image and said data related to said predetermined pattern; a cutting section for cutting out a second area smaller than said first area from said first area based on the result of comparison carried out by said first collation section; a second collation section for making comparison and collation between data related to an image in said second area and said data related to said predetermined pattern; and an identification section for identifying said predetermined pattern contained in said image based on the result of comparison carried out by said second collation section, wherein said data related to said predetermined pattern stored in said storage section comprises characteristic data representative of horizontal and vertical characteristics in said predetermined pattern, said first collation section comprises a first conversion section for converting image data in said first area into characteristic data representative of horizontal and vertical characteristics, and compares and collates said characteristic data converted by said first conversion section with said characteristic data of said predetermined pattern, and said second collation section comprises a second conversion section for converting image data in said second area into characteristic data representative of horizontal and vertical characteristics, and compares and collates said characteristic data converted by said second conversion section with said characteristic data of said predetermined pattern. - View Dependent Claims (5, 6, 7)
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8. A pattern identification apparatus for identifying a predetermined pattern contained in an image, said apparatus comprising:
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a storage section in which data related to said predetermined pattern is stored; a first cutting section for cutting out a first area greater than said predetermined pattern area from said image; a first collation section for making comparison and collation between data related to an image in said first area and said data related to said predetermined pattern; a second cutting section for cutting out a second area smaller than said first area from said first area based on the result of comparison carried out by said first collation section; a second collation section for making comparison and collation between data related to an image in said second area and said data related to said predetermined pattern; and an identification section for identifying said predetermined pattern contained in said image based on the result of comparison carried out by said second collation section, wherein said first collation section carries out comparison and collation while shifting said predetermined pattern relative to said image in said first area one unit area by one unit area which constitutes data related to said image, thereby to calculate a difference level between said image in said first area and said predetermined pattern, and said second culling section cuts out said second area based on an amount of shift of said predetermined pattern relative to said image in said first area at the time when said difference level meets a predetermined requirement. - View Dependent Claims (9, 10)
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11. A pattern identification apparatus for identifying a predetermined pattern contained in an image, said apparatus comprising:
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a storage section in which data related to said predetermined pattern is stored; a first cutting section for cutting out a first area greater than said predetermined pattern area from said image; a first collation section for making comparison and collation between data related to an image in said first area and said data related to said predetermined pattern; a second cutting section for cutting out a second area smaller than said first area from said first area based on the result of comparison carried out by said first collation section; a second collation section for making comparison and collation between data related to an image in said second area and said data related to said predetermined pattern; and an identification section for identifying said predetermined pattern contained in said image based on the result of comparison carried out by said second collation section, wherein said data related to said predetermined pattern stored in said storage section comprises characteristic data representative of horizontal and vertical characteristics in said predetermined pattern, said first collation section comprises a first conversion section for converting image data in said first area into characteristic data representative of horizontal and vertical characteristics, and compares and collates said characteristic data converted by said first conversion section with said characteristic data of said predetermined pattern, and said second collation section comprises a second conversion section for converting image data in said second area into characteristic data representative of horizontal and vertical characteristics, and compares and collates said characteristic data converted by said second conversion section with said characteristic data of said predetermined pattern. - View Dependent Claims (12, 13, 14)
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15. A pattern identification method for identifying a predetermined pattern contained in an image, said method comprising:
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storing data related to said predetermined pattern in a storage section; comparing and collating, by a first collation section, between data related to an image in a first area greater than an area of said predetermined pattern in said image and said data related to said predetermined pattern; cutting out a second area smaller than said first area from said first area based on the result of comparison carried out by said first collation section; comparing and collating, by a second collation section, between data related to an image in said second area and said data related to said predetermined pattern; identifying said predetermined pattern contained in said image based on the result of comparison carried out by said second collation section; comparing and collating, by said first collation section, while shifting said predetermined pattern relative to said image in said first area one unit area by one unit area which constitutes data related to said image, thereby to calculate a difference level between said image in said first area and said predetermined pattern; and cutting out said second area based on an amount of shift of said predetermined pattern relative to said image in said first area at the time when said difference level meets a predetermined requirement.
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16. A pattern identification method for identifying a predetermined pattern contained in an image, said method comprising:
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storing data related to said predetermined pattern in a storage section; comparing and collating, by a first collation section, between data related to an image in a first area greater than an area of said predetermined pattern in said image and said data related to said predetermined pattern; cutting out a second area smaller than said first area from said first area based on the result of comparison carried out by said first collation section; comparing and collating, by a second collation section, between data related to an image in said second area and said data related to said predetermined pattern; identifying said predetermined pattern contained in said image based on the result of comparison carried out by said second collation section; wherein said data related to said predetermined pattern stored in said storage section comprises characteristic data representative of horizontal and vertical characteristics in said predetermined pattern, said first collation section comprises a first conversion section for converting image data in said first area into characteristic data representative of horizontal and vertical characteristics, and compares and collates said characteristic data converted by said first conversion section with said characteristic data of said predetermined pattern, and said second collation section comprises a second conversion section for converting image data in said second area into characteristic data representative of horizontal and vertical characteristics, and compares and collates said characteristic data converted by said second conversion section with said characteristic data of said predetermined pattern.
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Specification