Platform for document classification
First Claim
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1. A method, comprising:
- determining, by a processor, for a document, and using a first machine learning model, a first classification of a document type, of a plurality of document types, and a first confidence score associated with the first classification,the first confidence score indicating a confidence level that the document type corresponds to the first classification;
comparing, by the processor, the first confidence score and a first threshold value;
selectively;
accepting, by the processor, the first classification of the document type when the first confidence score satisfies the first threshold value;
orobtaining, by the processor, information associated with the document when the first confidence score fails to satisfy the first threshold value;
determining, by the processor, for the document, and using a second machine learning model, a second classification of the document type and a second confidence score associated with the second classification,the second confidence score indicating a confidence level that the document type corresponds to the second classification;
comparing, by the processor, the second confidence score and a second threshold value; and
accepting, by the processor, the second classification of the document type when the second confidence score satisfies the second threshold value.
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Abstract
A device obtains image data associated with a document. Using a first machine learning model, the device determines, for the document, a first classification of one of a plurality of document types and a first confidence score associated with the first classification, and a second classification of one of the plurality of document types and a second confidence score associated with the second classification based on the image data. The device determines a difference between the first confidence score and the second confidence score, compares the difference and a threshold value, and accept the first classification of the document when the difference satisfies the threshold value.
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Citations
20 Claims
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1. A method, comprising:
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determining, by a processor, for a document, and using a first machine learning model, a first classification of a document type, of a plurality of document types, and a first confidence score associated with the first classification, the first confidence score indicating a confidence level that the document type corresponds to the first classification; comparing, by the processor, the first confidence score and a first threshold value; selectively; accepting, by the processor, the first classification of the document type when the first confidence score satisfies the first threshold value;
orobtaining, by the processor, information associated with the document when the first confidence score fails to satisfy the first threshold value; determining, by the processor, for the document, and using a second machine learning model, a second classification of the document type and a second confidence score associated with the second classification, the second confidence score indicating a confidence level that the document type corresponds to the second classification; comparing, by the processor, the second confidence score and a second threshold value; and accepting, by the processor, the second classification of the document type when the second confidence score satisfies the second threshold value. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A device, comprising:
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a memory; and one or more processors to; determine, for a document, a first classification of a document type, of a plurality of document types, and a first confidence score associated with the first classification, the first confidence score indicating a confidence level that the document type corresponds to the first classification; compare the first confidence score and a first threshold value; determine for the document, a second classification of the document type and a second confidence score associated with the second classification when the first confidence score fails to satisfy the first threshold value, the second confidence score indicating a confidence level that the document type corresponds to the second classification; compare the second confidence score and a second threshold value; and accept the second classification of the document type when the second confidence score satisfies the second threshold value. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. A non-transitory computer-readable medium storing instructions, the instructions comprising:
one or more instructions that, when executed by one or more processors, cause the one or more processors to; determine, for a document, a first classification of a document type, of a plurality of document types, and a first confidence score, the first confidence score indicating a confidence level that the document corresponds to the first classification; compare the first confidence score and a first threshold value; selectively; accept the first classification of the document type when the first confidence score satisfies the first threshold value;
orobtain information associated with the document when the first confidence score fails to satisfy the first threshold value; determine, for the document, a second classification of the document type and a second confidence score, the second confidence score indicating a confidence level that the document corresponds to the second classification; compare the second confidence score and a second threshold value; and accept the second classification of the document type when the second confidence score satisfies the second threshold value. - View Dependent Claims (16, 17, 18, 19, 20)
Specification