SYSTEMS AND METHODS FOR USING MACHINE LEARNING TO DETERMINE AN ORIGIN OF A CODE

Methods and systems for using machine learning to determine an origin of an alphanumeric code are presented. The code is analyzed to determine a set of characteristics based on the values and the types of values within the code. The code and the set of characteristics may then be embedded into an im...

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Bibliographische Detailangaben
Hauptverfasser:	Bansal, Yash, Raymond, Remo Antony
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES HANDLING RECORD CARRIERS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:	Methods and systems for using machine learning to determine an origin of an alphanumeric code are presented. The code is analyzed to determine a set of characteristics based on the values and the types of values within the code. The code and the set of characteristics may then be embedded into an image. To embed the code and the set of characteristics into an image, each of the code and the set of characteristics may be converted into a corresponding set of pixel values. The pixel values may then be combined to form the pixels in the image. The image is provided to a machine learning model as input. The machine learning model is configured to use the image to determine at least one entity that is associated with the code.