Abstract: The disclosed embodiments provide a system that describes a semi-structured document for the purpose of acquiring a set of data elements from the semi-structured document. During operation, the system obtains a physics model of a semi-structured document, wherein the physics model includes a set of relationships represented by physical objects that describe relative positions of a set of data elements in the semi-structured document. Next, the system applies the physics model to a representation of the semi-structured document to automatically extract a set of data from the representation. The system then provides the extracted set of data for use with one or more applications without requiring manual input of the data into the one or more applications.

Abstract: The disclosed embodiments provide a system that describes a semi-structured document for the purpose of acquiring a set of data elements from the semi-structured document. During operation, the system obtains a physics model of a semi-structured document, wherein the physics model includes a set of relationships represented by physical objects that describe relative positions of a set of data elements in the semi-structured document. Next, the system applies the physics model to a representation of the semi-structured document to automatically extract a set of data from the representation. The system then provides the extracted set of data for use with one or more applications without requiring manual input of the data into the one or more applications.

Abstract: A method and system provides augmented OCR data to a user of a financial system. The method and system include receiving image data related to an image of a financial document of the user and generating OCR data based on the image data. The method and system further include receiving financial data related to the financial document, analyzing the financial document, and generating the augmented OCR data based on the OCR data and the financial data.

Abstract: The disclosed embodiments relate to a system and method for calibrating optical character recognition (OCR) processes for an image captured through a mobile computing device. During operation, the system adjusts the OCR process through pre-recognition functions, OCR functions and/or post-recognition functions with multiple sets of parameter settings. With each of these sets, the system scores the OCR process output against an image with known text. Once the sets are scored, the system sorts the sets of parameters, removes some sets, then mixes and mutates the remaining sets in a process akin to evolutionary biology. By repeating this procedure, the system produces a set of parameter settings that can be used to calibrate OCR processing.

Abstract: A method and system identifies and addresses imaging artifacts in an image of a financial document to enable a software system to provide financial services based on the image of the financial document. The method and system receive document image data, extract image features from the document image data, and apply the image features to an analytics model to generate an image classification, according to one embodiment. The method and system use the image classification to determine whether the document image data contains one or more particular image artifacts (e.g., Moiré patterns), according to one embodiment. If the software system determines that it is likely that the document image data contains one or more particular image artifacts, then the software system applies a filter (e.g., a median filter) to the document image data to reduce and/or remove the one or more particular image artifacts, according to one embodiment.

Abstract: The disclosed embodiments provide a system that dynamically updates a geofence of a mobile business. During operation, the system establishes a first location and a first geofence for the mobile business. Next, the system receives a second location of the mobile business different than the first location of the mobile business. The system then generates an updated geofence for the mobile business based on the second location of the mobile business. The system subsequently broadcasts the second location of the mobile business to a set of mobile clients monitoring the mobile business.