Abstract: A method of extracting data from a document image includes selecting a document classification for the document image that includes text. The classification is selected from a plurality of predetermined document classifications based on recognized text. The method also includes selecting rules from a database of rules based on the document classification. The rules define data elements to be populated based on recognized document text. The method also includes selecting target data elements from a database of data elements based on the selected document classification and the selected rules. The method also includes recognizing selected portions of the document image. The selected portions are determined by the selected rules. Recognizing selected portions of the document image generates one or more character strings based on recognized text. The method further includes comparing a specific character string to a target data element, thereby producing a match measure based on the comparison.

Abstract: A method and apparatus for collecting property data from sources using a mobile device, such as a tablet pc, and to upload that property data to a database. The property data is then proofed and immediately returned to the searcher using the mobile device for error corrections. If there are no errors, the method and apparatus of the invention saves the data and returns the requested property data to the requester. If there are errors, the method and apparatus of this invention requests revisions from the searcher, proofs the order again, and returns the requested property data to the requester.

Abstract: An apparatus and method for database searching using fuzzy rules is presented. The apparatus and method may accept a word or word phrase such as a persons name and returns fuzzy rules for database searching. Applicable search rules are selected and word or word phrase equivalents are displayed to a user. The user accepts or rejects each of the word or word phrase. The word or word phrase along with the user's acceptance or rejection are stored in a sample database. The fuzzy rules are modified according to the data in the sample database. The database is filtered by training and testing portions of the database for accuracy and purging the least accurate portions.

Abstract: An apparatus and method for database searching using fuzzy rules is presented. The apparatus and method may accept a word or word phrase such as a persons name and returns fuzzy rules for database searching. Applicable search rules are selected and word or word phrase equivalents are displayed to a user. The user accepts or rejects each of the word or word phrase. The word or word phrase along with the user's acceptance or rejection are stored in a sample database. The fuzzy rules are modified according to the data in the sample database. The database is filtered by training and testing portions of the database for accuracy and purging the least accurate portions.

Abstract: A method of determining a title for a document includes recognizing at least a portion of an image of a document. The document includes text and recognizing at least a portion of the image of the document generates one or more character strings based on the text. The method also includes comparing the one or more character strings to each of a plurality of target document titles. Each target document title has a document code associated therewith and comparing produces a match measure based at least in part on the comparison. The method also includes determining whether the match measure exceeds a predetermined match threshold and assigning a document code to the document based on whether the match measure, produced by a comparison of a corresponding target document title to a target character string, exceeds the predetermined match threshold.

Abstract: A data verification system is configured to verify machine-recognized data elements acquired during a machine-implemented data acquisition process. The system includes a data verification workstation, a image server, and a data entry server. The data verification workstation is configured to obtain document images from the image server, present portions of document images to an operator, wherein the document images include text, and receive input from the operator based on the text. The input includes data elements. The data verification workstation is also configured to acquire machine-recognized data elements from the data entry server. The machine-recognized data elements were acquired from the document image during a machine-implemented data acquisition process based on the text.

Abstract: A method of extracting data from a document image includes selecting a document classification for the document image that includes text. The classification is selected from a plurality of predetermined document classifications based on recognized text. The method also includes selecting rules from a database of rules based on the document classification. The rules define data elements to be populated based on recognized document text. The method also includes selecting target data elements from a database of data elements based on the selected document classification and the selected rules. The method also includes recognizing selected portions of the document image. The selected portions are determined by the selected rules. Recognizing selected portions of the document image generates one or more character strings based on recognized text. The method further includes comparing a specific character string to a target data element, thereby producing a match measure based on the comparison.