Data processing: measuring – calibrating – or testing – Measurement system in a specific environment – Electrical signal parameter measurement system
Reexamination Certificate
2000-09-29
2001-12-04
Shah, Kamini (Department: 2857)
Data processing: measuring, calibrating, or testing
Measurement system in a specific environment
Electrical signal parameter measurement system
C702S082000, C250S548000, C271S227000, C271S256000
Reexamination Certificate
active
06327543
ABSTRACT:
TECHNICAL FIELDS
The present invention relates to a method of judging the truth of a paper type such as a bill or securities, a method of judging the direction in which a paper type is fed, and a method of calculating the width of shift of a waveform representing a characteristic amount of a paper type.
BACKGROUND ART
As a method of judging the truth of a bill, a method disclosed in Japanese Patent Publication No. 215293/1985 has been known. In this method, a bill is divided into a plurality of regions. Detection data is obtained by a magnetic sensor for each region of a bill to be examined. The ratio of the detection data in each of the regions to the sum of the detection data in all the regions is calculated for each region. The ratio calculated for each region is compared with a reference value previously found for the region. If the difference therebetween is not within a predetermined allowable range in any one of the regions, it is judged that the bill is a false bill.
If the difference therebetween is within a predetermined allowable range in all the regions, the sum of the differences between the ratios calculated for the respective regions and the reference values in the corresponding regions is calculated. If the calculated sum is not less than a predetermined allowable value, it is judged that the bill is a false bill. If the calculated sum is less than the predetermined allowable value, it is judged that the bill is a true bill.
In the above-mentioned prior art, the ratio of the detection data in each of the regions to the sum of the detection data in all the regions is compared with the reference value previously found for the region. In cases such as a case where the bill is uniformly dirty, therefore, the method of judging the truth of a bill in the prior art is not easily affected by the dirt. However, the dirt of the bill is not generally uniform in respective portions of the bill. In the above-mentioned prior art, erroneous judgment may be made by the dirt, the wrinkle and the like of the bill.
An object of the present invention is to provide a method of judging the truth of a paper type, wherein the truth of a paper type can be judged with high precision without being affected by the dirt, the wrinkle and the like of the paper type.
Another object of the present invention is to provide a method of judging the direction in which a paper type is fed, wherein the direction in which a paper type is fed can be judged with high precision.
Still another object of the present invention is to provide a method of calculating the width of shift of a waveform representing a characteristic amount of a paper type, wherein the width of shift in the direction of conveyance of a waveform representing a characteristic amount of a paper type from a reference waveform can be accurately calculated.
DISCLOSURE OF INVENTION
A first method of judging the truth of a paper type according to the present invention is characterized by comprising the steps of performing first truth judgment processing with respect to a paper type to be examined, performing second truth judgment processing with respect to the paper type to be examined only when it is judged that the paper type to be examined is not a false paper type in the first truth judgment processing, and judging that the paper type to be examined is a true paper type only when it is judged that the paper type to be examined is not a false paper type in the second truth judgment processing, the first truth judgment processing comprising a first step of extracting, on the basis of characteristic amounts of the paper type to be examined which are read from a plurality of portions on the paper type and reference data previously found with respect to the plurality of portions, random components for each of the characteristic amounts of the paper type, a second step of presuming, on the basis of the extracted random components for each of the characteristic amounts and a predetermined forecast model of dirt components, the dirt components for the plurality of portions on the paper type to be examined, and a third step of judging the truth of the paper type to be examined on the basis of the presumed dirt components and the extracted random components, the second truth judgment processing comprising a fourth step of previously selecting from the characteristic amounts of the paper type to be examined which are read from the plurality of portions on the paper type and second reference data previously found with respect to the plurality of portions the characteristic amounts and the second reference data with respect to a plurality of positions where an operation is to be executed as ones suitable for judgment and calculating the goodness of fit of the characteristic amount and the second reference data, and a fifth step of judging the truth of the paper type to be examined on the basis of the calculated goodness of fit.
The reference data used in the first step is generated on the basis of characteristic amounts of a plurality of true paper types which are read from a plurality of portions on the true paper types, for example. Further, the forecast model of the dirt components used in the second step is generated on the basis of the characteristic amounts of the plurality of true paper types which are read from the plurality of portions on the true paper types and the reference data, for example.
An example of the third step is one comprising the step of calculating a value relating to a prediction error on the basis of the presumed dirt components and the extracted random components, and the step of judging that the paper type to be examined is a false paper type when the calculated value relating to the prediction error is more than a threshold, while judging that the paper type to be examined is not a false paper type when the calculated value relating to the prediction error is not more than the threshold.
The plurality of positions where an operation is to be executed which are used in the fourth step are found by optimization processing using a genetic algorithm, for example.
A second method of judging the truth of a paper type according to the present invention is characterized by comprising a first step of extracting, on the basis of characteristic amounts of a paper type to be examined which are read from a plurality of portions on the paper type and reference data previously found with respect to the plurality of portions, random components for each of the characteristic amounts of the paper type, a second step of presuming, on the basis of the extracted random components for each of the characteristic amounts and a predetermined forecast model of dirt components, the dirt components for the plurality of portions on the paper type to be examined, and a third step of judging the truth of the paper type to be examined on the basis of the presumed dirt components and the extracted random components.
The reference data used in the first step is generated on the basis of characteristic amounts of a plurality of true paper types which are read from a plurality of portions on the true paper types, for example. Further, the forecast model of the dirt components used in the second step is generated on the basis of the characteristic amounts of the plurality of true paper types which are read from the plurality of portions on the true paper types and the reference data, for example.
An example of the third step is one comprising the step of calculating a value relating to a prediction error on the basis of the presumed dirt components and the extracted random components, and the step of judging that the paper type to be examined is a false paper type when the calculated value relating to the prediction error is more than a threshold, while judging that the paper type to be examined is not a false paper type when the calculated value relating to the prediction error is not more than the threshold.
An example of the forecast model of the dirt components is an autoregressive model in which data representing the differences between the charact
Nakajima Hideki
Sakai Hidetaka
Tatsumi Hiroshi
Arent Fox Kintner & Plotkin & Kahn, PLLC
Sanyo Electric Co,. Ltd.
Shah Kamini
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