System and method for classifying images of an evidence

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 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.

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 first received image, wherein the unlabeled template includes a first set of regions of interest (ROIs);
• select 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;
• 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 first image upon determination that the content checked corresponds to the label according to the labeled template.