Pattern recognition method and pattern recognition apparatus
First Claim
1. A pattern recognition apparatus that recognizes a class of an input object pattern, the apparatus comprising:
- circuitry functioning as;
a correlation value calculation unit configured to calculate a correlation value between a feature quantity of each local area in the input object pattern and a feature quantity of a corresponding local area in each of registered object patterns in a dictionary in which at least one object pattern has been registered for each of predetermined classes and a plurality of object patterns have been registered for at least one of the predetermined classes;
a combining unit configured to combine, for each class of the predetermined classes, the correlation values calculated for respective registered object patterns which belong to that class with respect to each local area in the input object pattern;
an obtaining unit configured to obtain an integrated similarity of the input object pattern for each class of the predetermined classes by integrating the combined correlation values of a plurality of local areas for that class; and
an identification unit configured to identify a class of the input object pattern based on the integrated similarity for each class obtained by said obtaining 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.
41 Citations
11 Claims
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1. A pattern recognition apparatus that recognizes a class of an input object pattern, the apparatus comprising:
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circuitry functioning as; a correlation value calculation unit configured to calculate a correlation value between a feature quantity of each local area in the input object pattern and a feature quantity of a corresponding local area in each of registered object patterns in a dictionary in which at least one object pattern has been registered for each of predetermined classes and a plurality of object patterns have been registered for at least one of the predetermined classes; a combining unit configured to combine, for each class of the predetermined classes, the correlation values calculated for respective registered object patterns which belong to that class with respect to each local area in the input object pattern; an obtaining unit configured to obtain an integrated similarity of the input object pattern for each class of the predetermined classes by integrating the combined correlation values of a plurality of local areas for that class; and an identification unit configured to identify a class of the input object pattern based on the integrated similarity for each class obtained by said obtaining unit. - View Dependent Claims (2, 3, 4, 5, 6, 9, 10, 11)
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7. A pattern recognition method by a pattern recognition apparatus that recognizes a class of an input object pattern, the method comprising:
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a correlation value calculation step of calculating a correlation value between a feature quantity of each local area in the input object pattern and a feature quantity of a corresponding local area in each of registered object patterns in a dictionary in which at least one object pattern has been registered for each of predetermined classes and a plurality of object patterns have been registered for at least one of the predetermined classes; a combining step of combining, for each class of the predetermined classes, the correlation values calculated for respective registered object patterns which belong to that class with respect to each local area in the input object pattern; an obtaining step of obtaining an integrated similarity of the input object pattern for each class of the predetermined classes by integrating the combined correlation values of a plurality of local areas for that class; and an identification step of identifying a class of the input object pattern based on the integrated similarity for each class obtained in said obtaining step. - View Dependent Claims (8)
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Specification