PATTERN RECOGNITION METHOD AND PATTERN RECOGNITION APPARATUS
First Claim
1. A pattern recognition apparatus that recognizes a data attribute of input data, the apparatus comprising:
- a correlation value calculation unit configured to calculate correlation values of feature quantities of corresponding local patterns between the input data and dictionary data for each of a plurality of dictionary data prepared for each data attribute and configured to combine, for each data attribute, the calculated correlation values of local patterns of each dictionary datum to acquire a set of correlation values of each data attribute;
a similarity calculation unit configured to integrate correlation values included in each set of correlation values of each data attribute to calculate a similarity of the input data for each data attribute; and
an identification unit configured to identify the data attribute of the input data based on the similarity calculated by said similarity calculation unit.
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Abstract
A pattern recognition apparatus that recognizes a data attribute of input data calculates correlation values of feature quantities of corresponding local patterns between the input data and dictionary data for each of a plurality of dictionary data prepared for each data attribute, combines, for each data attribute, the calculated correlation values of local patterns of each dictionary datum to acquire a set of correlation values of each data attribute, integrates correlation values included in each set of correlation values of each data attribute to calculate a similarity of the input data for each data attribute, and identifies the data attribute of the input data based on the calculated similarity.
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Citations
11 Claims
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1. A pattern recognition apparatus that recognizes a data attribute of input data, the apparatus comprising:
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a correlation value calculation unit configured to calculate correlation values of feature quantities of corresponding local patterns between the input data and dictionary data for each of a plurality of dictionary data prepared for each data attribute and configured to combine, for each data attribute, the calculated correlation values of local patterns of each dictionary datum to acquire a set of correlation values of each data attribute; a similarity calculation unit configured to integrate correlation values included in each set of correlation values of each data attribute to calculate a similarity of the input data for each data attribute; and an identification unit configured to identify the data attribute of the input data based on the similarity calculated by said similarity calculation unit. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A pattern recognition method by a pattern recognition apparatus that recognizes a data attribute of input data, the method comprising:
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a correlation value calculation step of calculating correlation values of feature quantities of corresponding local patterns between the input data and dictionary data for each of a plurality of dictionary data prepared for each data attribute and combining, for each data attribute, the calculated correlation values of local patterns of each dictionary datum to acquire a set of correlation values of each data attribute; a similarity calculation step of integrating the set of correlation values included in each set of correlation values of each data attribute to calculate a similarity of the input data for each data attribute; and an identification step of identifying the data attribute of the input data based on the similarity calculated in said similarity calculation step. - View Dependent Claims (11)
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Specification