Abstract: In one example, a system is provided. The system includes a portable, in-field unit including: a tag reader to acquire an ID tag identifier from a tag located in or on a physical item positioned within functional range of the in-field unit tag reader; a digital processor arranged for executing software code stored in the in-field unit responsive to the acquired ID tag identifier, the stored software code including—a customer application layer; and a database adapter component configured to provide database services to the processor; wherein the database services include accessing a stored database to acquire stored data associated with the acquired ID tag identifier.

Abstract: An automated document processing machine may comprise an electro-mechanical transport subsystem configured to convey a document through the machine, and a camera arranged adjacent the transport and configured to capture an image of a front side of the document. A fingerprinting software component may be configured for processing the captured image of the document to create a unique digital fingerprint of the document based on the front side image, and a software interface may be configured for storing the digital fingerprint in a database of document identifiers in association with a unique alphanumeric identifier so that the document may be subsequently identified in a second processing machine that has access to the database. The digital fingerprint may be responsive to indicia that otherwise appears on the front side of the document, and may comprise data that identifies a document as being unique based on the front side indicia.

Abstract: A method/apparatus for identifying an object based on a pattern of structural features located in a region of interest wherein the pattern of features comprises at least one fingerprint feature. The region may be recognized and used to identify the object. A first feature vector may be extracted from a first image of the pattern and may be mapped to an object identifier. To authenticate the object, a second feature vector may be extracted from a second image taken of the same region later in time than the first image. The two feature vectors may be compared and differences between one or more feature vector values determined. A match correlation value may be calculated based on the difference(s). The differences may be dampened if associated with expected wear and tear. Thus the impact on the match correlation value of such differences may be reduced. The differences may be enhanced if associated with changes that are not explainable as wear and tear.

Abstract: A method/apparatus for identifying an object based on a pattern of structural features located in a particular region wherein the pattern comprises at least one fingerprint feature. The region may be recognized and used to identify the object. A first feature vector (FV) may be extracted from a first image of the pattern and may be mapped to an object identifier. To authenticate the object, a second FV may be extracted from a second image of the same region. The FVs may be compared and difference(s) determined. A match correlation value (MCV) may be calculated based on the difference(s). The difference(s) may be dampened if associated with expected wear and tear reducing the impact of the difference(s) on the MCV. The differences may be enhanced if associated with changes that are not explainable as wear and tear increasing the impact of the difference(s) on the MCV.

Abstract: A method of defining data patterns for object handling includes obtaining an image of an input data area, processing the image to obtain image data, and comparing the image data with a pattern, wherein the pattern identifies spatial information of corresponding pattern fields of the pattern. The method further includes determining a confidence level of the comparison of the image data according to a success in matching the image data with the pattern fields, comparing the confidence level with a confidence threshold associated with the pattern, and selecting the pattern. A pattern output associated with the selected pattern is identified, wherein the pattern output corresponds to a canonical return format, and the pattern output is applied to the image data.

Abstract: In one example, a system is provided. The system includes a portable, in-field unit including: a tag reader to acquire an ID tag identifier from a tag located in or on a physical item positioned within functional range of the in-field unit tag reader; a digital processor arranged for executing software code stored in the in-field unit responsive to the acquired ID tag identifier, the stored software code including—a customer application layer; and a database adapter component configured to provide database services to the processor; wherein the database services include accessing a stored database to acquire stored data associated with the acquired ID tag identifier.

Abstract: An automated document processing machine may comprise an electro-mechanical transport subsystem configured to convey a document through the machine, and a camera arranged adjacent the transport and configured to capture an image of a front side of the document. A fingerprinting software component may be configured for processing the captured image of the document to create a unique digital fingerprint of the document based on the front side image, and a software interface may be configured for storing the digital fingerprint in a database of document identifiers in association with a unique alphanumeric identifier so that the document may be subsequently identified in a second processing machine that has access to the database. The digital fingerprint may be responsive to indicia that otherwise appears on the front side of the document, and may comprise data that identifies a document as being unique based on the front side indicia.

Abstract: A secure data provider controls access to one or more data sources on behalf of a requesting party. A negotiated query is transmitted to one or more of the data sources associated with the request based, at least in part, on the information being requested. The response to the query is modified based, at least in part, on an authorization level of the requesting party, and the modified response is transmitted to the requesting party.

Abstract: An automated document processing machine may comprise an electro-mechanical transport subsystem configured to convey a document through the machine, and a camera arranged adjacent the transport and configured to capture an image of a front side of the document. A fingerprinting software component may be configured for processing the captured image of the document to create a unique digital fingerprint of the document based on the front side image, and a software interface may be configured for storing the digital fingerprint in a database of document identifiers in association with a unique alphanumeric identifier so that the document may be subsequently identified in a second processing machine that has access to the database. The digital fingerprint may be responsive to indicia that otherwise appears on the front side of the document, and may comprise data that identifies a document as being unique based on the front side indicia.

Abstract: A method of defining data patterns for object handling includes obtaining an image of an input data area, processing the image to obtain image data, and comparing the image data with a pattern, wherein the pattern identifies spatial information of corresponding pattern fields of the pattern. The method further includes determining a confidence level of the comparison of the image data according to a success in matching the image data with the pattern fields, comparing the confidence level with a confidence threshold associated with the pattern, and selecting the pattern. A pattern output associated with the selected pattern is identified, wherein the pattern output corresponds to a canonical return format, and the pattern output is applied to the image data.

Abstract: A method/apparatus for identifying an object based on a pattern of structural features located in a particular region wherein the pattern comprises at least one fingerprint feature. The region may be recognized and used to identify the object. A first feature vector (FV) may be extracted from a first image of the pattern and may be mapped to an object identifier. To authenticate the object, a second FV may be extracted from a second image of the same region. The FVs may be compared and difference(s) determined. A match correlation value (MCV) may be calculated based on the difference(s). The difference(s) may be dampened if associated with expected wear and tear reducing the impact of the difference(s) on the MCV. The differences may be enhanced if associated with changes that are not explainable as wear and tear increasing the impact of the difference(s) on the MCV.

Abstract: An automated document processing machine may comprise an electro-mechanical transport subsystem configured to convey a document through the machine, and a camera arranged adjacent the transport and configured to capture an image of a front side of the document. A fingerprinting software component may be configured for processing the captured image of the document to create a unique digital fingerprint of the document based on the front side image, and a software interface may be configured for storing the digital fingerprint in a database of document identifiers in association with a unique alphanumeric identifier so that the document may be subsequently identified in a second processing machine that has access to the database. The digital fingerprint may be responsive to indicia that otherwise appears on the front side of the document, and may comprise data that identifies a document as being unique based on the front side indicia.

Abstract: A method of defining data patterns for object handling includes obtaining an image of an input data area, processing the image to obtain image data, and comparing the image data with a pattern, wherein the pattern identifies spatial information of corresponding pattern fields of the pattern. The method further includes determining a confidence level of the comparison of the image data according to a success in matching the image data with the pattern fields, comparing the confidence level with a confidence threshold associated with the pattern, and selecting the pattern. A pattern output associated with the selected pattern is identified, wherein the pattern output corresponds to a canonical return format, and the pattern output is applied to the image data.

Abstract: The present disclosure pertains to collecting various different ways of designating a destination address or physical location (Source Databases A,B,C), and associating them to a single, canonical form (Canonical Database, FIG. 2). The canonical form can be conveniently used to route an item for delivery (process FIG. 3). The present disclosure solved the problem where there is either no “proper” address or there are a plurality of them (e.g. different addresses for the same house) (FIG. 1). Preferably, a meta-database (FIG. 5) links across the multiple source databases (A,B,C) and logically connects their contents to the canonical address database, wherein each delivery location has a single associated canonical address designator (532), and each address designator in each source database (536, 538) that refers to that delivery point is linked by the meta-database to that associated canonical designator.

Abstract: Computer-implemented system and methods for authenticating the identity of a person, for example a customer (1) of an E-Commerce web site (15). The web site or other verification “client” (110) contacts a verification engine (10, 100) (“Authentex”), which may be implemented as a web server (604). The verification engine (10), in turn, has limited access to a plurality of independent, third-party secure databases (21, 112) which are maintained by Trusted Validators (3, 610, 620, etc), which are entities such as banks that have a pre-existing relationship with customer (FIG. 4), and due to that relationship, acquire and maintain “out-of-wallet” data (4) that may be useful to authenticate the identity of the customer. That confidential customer data—held by the third-party “Trusted Validators”—is not disclosed.

Abstract: Computer-implemented system and methods for authenticating the identity of a person, for example a customer (1) of an E-Commerce web site (15). The web site or other verification “client” (110) contacts a verification engine (10, 100) (“Authentex”), which may be implemented as a web server (604). The verification engine (10), in turn, has limited access to a plurality of independent, third-party secure databases (21, 112) which are maintained by Trusted Validators (3, 610, 620, etc), which are entities such as banks that have a pre-existing relationship with customer (FIG. 4), and due to that relationship, acquire and maintain “out-of-wallet” data (4) that may be useful to authenticate the identity of the customer. That confidential customer data—held by the third-party “Trusted Validators”—is not disclosed.

Abstract: Computer-implemented system and methods for authenticating the identity of a person, for example a customer (1) of an E-Commerce web site (15). The web site or other verification “client” (110) contacts a verification engine (10, 100) (“Authentex”), which may be implemented as a web server (604). The verification engine (10), in turn, has limited access to a plurality of independent, third-party secure databases (21, 112) which are maintained by Trusted Validators (3, 610, 620, etc), which are entities such as banks that have a pre-existing relationship with customer (FIG. 4), and due to that relationship, acquire and maintain “out-of-wallet” data (4) that may be useful to authenticate the identity of the customer. That confidential customer data—held by the third-party “Trusted Validators”—is not disclosed.

Abstract: Embodiments of the present invention encompass systems and methods for use in identity authentication. One illustrative application is in the context of authenticating the identity of a subject by verifying items of identifying information stored by, or accessible through, a plurality of data sources. In particular, a multi-item query can be presented to multiple data sources and the results of the query can be combined into an overall composite result that can be used to authenticate the subject's identity.

Abstract: Risk of personal identity theft, especially in connection with on-line commerce, is mitigated by maintaining private data in a secure database maintained by a trusted third party verification service. To authenticate the identity of a user or customer, in one embodiment, a knowledge-based challenge is issued to the user, and the response is compared to stored data by the verification service. The verification service reports to the vendor, to authenticate the user identity, capability and or authorization for the proposed transaction without disclosing private data to the vendor.

Abstract: Computer-implemented system and methods for authenticating the identity of a person, for example a customer (1) of an E-Commerce web site (15). The web site or other verification “client” (110) contacts a verification engine (10, 100) (“Authentex”), which may be implemented as a web server (604). The verification engine (10), in turn, has limited access to a plurality of independent, third-party secure databases (21, 112) which are maintained by Trusted Validators (3, 610, 620, etc), which are entities such as banks that have a pre-existing relationship with customer (FIG. 4), and due to that relationship, acquire and maintain “out-of-wallet” data (4) that may be useful to authenticate the identity of the customer. That confidential customer data—held by the third-party “Trusted Validators”—is not disclosed.