Detecting and remediating anomalies in institutional financial instruments using image processing

A method for detecting and remediating anomalies, the method comprising:

• performing a text extraction process on a document image of a document to obtain document textual information, wherein performing the text extraction process includes one or both of:
• (1) performing a template matching process using one or more predefined templates of alphanumeric characters and symbols in a predetermined font commonly used in documents similarto the document represented in the document image;
• or
• (2) performing an artificial intelligence analysis process on the document image to identify and extract textual data and account for variations in handwriting, fonts and document layout;
• decoding an intelligentmail barcode (IMB) in the document image to obtain a character code that encodes document-related details and information, wherein decoding the IMB includes performing a noise removal process that includes applying a mask to a portion of the document and applying an erosion process to the masked document image portion to extract the decoded character code;
• utilizing the decoded character code to extract encoded information, wherein a matching threshold used to extract a first type of information is lower than a character matching threshold used to extract other information to resist failure to identify the first type of information despite the presence of one or more interfering marks;
• performing a fraud detection process on the document image wherein the fraud detection process includes:
• comparing a ZIP code template representative of a ZIP code obtained from the IMB to perform a comparison against a predefined region of document image containing a name or address to identify a presence of the ZIP code in the predefined region;
• or
• identifying the predefined region of the document image containing the name and address using predefined location markers such as a location of a particular field relative to other fields on the document;
• and
• based on the fraud detection process, either routing the document for additional fraud analysis and remediation responsive to anomalies being found or permitting further processing without additional fraud analysis responsive to no anomalies being found.

A system comprising a set of one or more non-transitory computer readable media having instructions stored thereby that, when executed by a set of one or more processors cause the one or more processors to perform a method comprising:

• obtaining a document image of a document that appears on its face to be genuine, wherein the document is either genuine or forged to have altered information;
• identifying a document code in the document image;
• decoding the document code to obtain a character code, wherein the decoding includes:
• performing a noise removal process that includes:
• calculating pixel densities within the document code;
• comparing the pixel densities to detect one or more regions of the document code having a lower comparative pixel density relative to corresponding regions of others of the plurality of vertical bars;
• and
• based on detecting the one or more regions having the lower comparative pixel density, considering pixel density in the one or more regions as noise;
• applying a horizontal dilation to generate a dilated document image portion;
• applying a mask to the dilated document image portion to obtain a masked document image portion;
• and
• applying an erosion process to the masked document image portion;
• extracting encoded document information from the document code;
• performing a fraud detection process on the document image based on an amount of inconsistency between the document textual information and the encoded document information;
• and
• based on the fraud detection process, routing the document image for additional fraud analysis and remediation rather than permitting further processing without additional fraud analysis.