System and method for classifying images of an evidence
AssigneeVatbox, Ltd.
InventorsIsaac Saft, Noam Guzman, Natanel Davidovits
Life of this patent
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Abstract
A system and method for classifying images of an evidence, the method including: generating an unlabeled template based on a first received image, wherein the unlabeled template includes a first set of regions of interest (ROIs); selecting a labeled template that includes a second set of ROIs from a plurality of labeled templates determined to be a best match for the unlabeled template; checking at least an ROI of the first set of ROIs for content that corresponds to a label of an equivalent ROI of the second set of ROIs; and, classifying the first image upon determination that the content checked corresponds to the label according to the labeled template.
Claims20
A method for classifying images of an evidence, the method comprising:
- generating an unlabeled template based on a first received image, wherein the unlabeled template includes a first set of regions of interest (ROIs), each of the ROIs containing at least one data element, the data element of at least one of the ROIs containing only text, the ROIs being organized in an array structure such that the ROIs are delineated by areas that do not contain data elements, wherein the received image is of an evidence related to a transaction;
- selecting a labeled template that includes a second set of ROIs and a textual label corresponding to each respective one the ROIs of the second set from a plurality of labeled templates determined to be a best match for the unlabeled template;
- checking at least an ROI of the first set of ROIs for content that corresponds to a label of an equivalent ROI of the second set of ROIs;
- and,
- classifying the image upon determination that the content checked corresponds to the label according to the labeled template.
A non-transitory computer readable medium having stored thereon instructions for causing a processing circuitry to perform a process, the process comprising:
- generating an unlabeled template based on a received image, wherein the unlabeled template includes a first set of regions of interest (ROIs), each of the ROIs containing at least one data element, the data element of at least one of the ROIs containing only text, the ROIs being organized in an array structure such that the ROIs are delineated by areas that do not contain data elements, wherein the received image is of an evidence related to a transaction;
- selecting a labeled template that includes a second set of ROIs and a textual label corresponding to each respective one the ROIs of the second set from a plurality of labeled templates determined to be a best match for the unlabeled template;
- checking at least an ROI of the first set of ROIs for content that corresponds to a label of an equivalent ROI of the second set of ROIs;
- and,
- classifying the image upon determination that the content checked corresponds to the label according to the labeled template.
A system for classifying images of an evidence, comprising:
- a processing circuitry;
- and
- a memory, the memory containing instructions that, when executed by the processing circuitry, configure the system to:
- generate an unlabeled template based on a received image, wherein the unlabeled template includes a first set of regions of interest (ROIs), each of the ROIs containing at least one data element, the data element of at least one of the ROIs containing only text, the ROIs being organized in an array structure such that the ROIs are delineated by areas that do not contain data elements, wherein the received image is of an evidence related to a transaction;
- select a labeled template that includes a second set of ROIs and a textual label corresponding to each respective one the ROIs of the second set from a plurality of labeled templates determined to be a best match for the unlabeled template;
- check at least an ROI of the first set of ROIs for content that corresponds to a label of an equivalent ROI of the second set of ROIs;
- and,
- classify the image upon determination that the content checked corresponds to the label according to the labeled template.
Dependencies are inferred from the claim text.