Abstract: A computer-implemented method for automatically analyzing handwritten text to determine a mismatch between a purported writer and an actual writer is disclosed. The method comprises receiving two samples of digitized handwriting each allegedly created by one individual and received and entered into a digital system by another. The method further comprises performing a series of feature extractions to convert the samples into two vectors of extracted features; automatically clustering a set of vectors such that the first vector and the second vector are assigned to the same cluster among multiple clusters, based on vector similarity; and automatically determining that a same individual being associated with both the first and second samples indicates a heightened probability that the individual fraudulently created both samples. Finally, the method comprises automatically transmitting a message to flag additional samples of digitized handwriting entered into a digital system as possibly fraudulent.

Abstract: Systems and methods for routing requests to a plurality of server clusters are disclosed, especially in a workflow management context. A first server cluster handles requests concerning a first software version and a second server cluster responds to requests concerning a second version of that same software. Upon receiving a request to change default routing of requests, a configuration of a gateway router is updated and subsequent requests concerning the first software are routed to the second server cluster while subsequent request concerning the second software remain routed to the first server cluster. A first graphical user interface (GUI) is provided to be used in defining a series of steps in a workflow and to creating a secondary GUI that will be used when performing the series of steps. Tools for automation and data extraction during the workflow are provided and workflow state is tracked until completion of the workflow.

Abstract: A computer-implemented method for automatically analyzing handwritten text to determine a mismatch between a purported writer and an actual writer is disclosed. The method comprises receiving two samples of digitized handwriting each allegedly created by one individual and received and entered into a digital system by another. The method further comprises performing a series of feature extractions to convert the samples into two vectors of extracted features; automatically clustering a set of vectors such that the first vector and the second vector are assigned to the same cluster among multiple clusters, based on vector similarity; and automatically determining that a same individual being associated with both the first and second samples indicates a heightened probability that the individual fraudulently created both samples. Finally, the method comprises automatically transmitting a message to flag additional samples of digitized handwriting entered into a digital system as possibly fraudulent.

Abstract: Systems and methods for routing requests to a plurality of server clusters are disclosed, especially in a workflow management context. A first server cluster handles requests concerning a first software version and a second server cluster responds to requests concerning a second version of that same software. Upon receiving a request to change default routing of requests, a configuration of a gateway router is updated and subsequent requests concerning the first software are routed to the second server cluster while subsequent request concerning the second software remain routed to the first server cluster. A first graphical user interface (GUI) is provided to be used in defining a series of steps in a workflow and to creating a secondary GUI that will be used when performing the series of steps. Tools for automation and data extraction during the workflow are provided and workflow state is tracked until completion of the workflow.

Abstract: Systems and methods for routing requests to a plurality of server clusters are disclosed, especially in a workflow management context. A first server cluster handles requests concerning a first software version and a second server cluster responds to requests concerning a second version of that same software. Upon receiving a request to change default routing of requests, a configuration of a gateway router is updated and subsequent requests concerning the first software are routed to the second server cluster while subsequent request concerning the second software remain routed to the first server cluster. A first graphical user interface (GUI) is provided to be used in defining a series of steps in a workflow and to creating a secondary GUI that will be used when performing the series of steps. Tools for automation and data extraction during the workflow are provided and workflow state is tracked until completion of the workflow.

Abstract: A system for extraction and verification of handwritten signatures from arbitrary documents. The system comprises one or more computing devices configured to: receive a digital image of a document; perform a dilating transformation via convolution matrix on the digital image to obtain a modified image; determine a plurality of regions of connected markings in the digital image; based at least in part on a pixel density or proximity to an anchor substring of each region, determine whether any region contains any handwritten signature; extract first image data of the region containing a handwritten signature from the digital image; retrieve second image data of a confirmed example signature for a purported signer of the handwritten signature; and based on a comparison of the first image data with the second image data, forward a determination of whether the first image data and second image data are similar.

Abstract: A method for routing requests to a plurality of server clusters is disclosed. The method comprises establishing a first server cluster responding to requests concerning a first software via a first version of that software and to requests concerning a second software via a first version of that software, and a second server cluster responding to requests concerning the first software via a second version of that software and to requests concerning the second software via a second version of that software. A gateway router initially routes requests concerning the first and second software by default to the first server cluster. Upon receiving a request to change default routing of requests, a configuration of the gateway router is updated. Subsequent requests concerning the first software are routed to the second server cluster while subsequent request concerning the second software remain routed to the first server cluster.

Abstract: A method for routing requests to a plurality of server clusters is disclosed. The method comprises establishing a first server cluster responding to requests concerning a first software via a first version of that software and to requests concerning a second software via a first version of that software, and a second server cluster responding to requests concerning the first software via a second version of that software and to requests concerning the second software via a second version of that software. A gateway router initially routes requests concerning the first and second software by default to the first server cluster. Upon receiving a request to change default routing of requests, a configuration of the gateway router is updated. Subsequent requests concerning the first software are routed to the second server cluster while subsequent request concerning the second software remain routed to the first server cluster.

Abstract: A computer-implemented method for automatically analyzing handwritten text to determine a mismatch between a purported writer and an actual writer is disclosed. The method comprises receiving two samples of digitized handwriting each allegedly created by one individual and received and entered into a digital system by another. The method further comprises performing a series of feature extractions to convert the samples into two vectors of extracted features; automatically clustering a set of vectors such that the first vector and the second vector are assigned to the same cluster among multiple clusters, based on vector similarity; and automatically determining that a same individual being associated with both the first and second samples indicates a heightened probability that the individual fraudulently created both samples. Finally, the method comprises automatically transmitting a message to flag additional samples of digitized handwriting entered into a digital system as possibly fraudulent.

Abstract: A system for extraction and verification of handwritten signatures from arbitrary documents. The system comprises one or more computing devices configured to: receive a digital image of a document; perform a dilating transformation via convolution matrix on the digital image to obtain a modified image; determine a plurality of regions of connected markings in the digital image; based at least in part on a pixel density or proximity to an anchor substring of each region, determine whether any region contains any handwritten signature; extract first image data of the region containing a handwritten signature from the digital image; retrieve second image data of a confirmed example signature for a purported signer of the handwritten signature; and based on a comparison of the first image data with the second image data, forward a determination of whether the first image data and second image data are similar.

Abstract: A system for extraction and verification of handwritten signatures from arbitrary documents. The system comprises one or more computing devices configured to: receive a digital image of a document; remove a subset of words from the digital image identified via OCR; determine a plurality of regions of connected markings that remain in the digital image; based at least in part on a pixel density or proximity to an anchor substring of each region, determine that a region contains a handwritten signature; extract first image data of the region containing a handwritten signature from the digital image; retrieve second image data of a confirmed example signature for a purported signer of the handwritten signature; and based on a comparison of the first image data with the second image data, forward a determination of whether the first image data and second image data are similar.

Abstract: A system for extraction and verification of handwritten signatures from arbitrary documents. The system comprises one or more computing devices configured to: receive a digital image of a document; remove a subset of words from the digital image identified via OCR; determine a plurality of regions of connected markings that remain in the digital image; based at least in part on a pixel density or proximity to an anchor substring of each region, determine that a region contains a handwritten signature; extract first image data of the region containing a handwritten signature from the digital image; retrieve second image data of a confirmed example signature for a purported signer of the handwritten signature; and based on a comparison of the first image data with the second image data, forward a determination of whether the first image data and second image data are similar.

Abstract: A system and computer-implemented method for providing a load-balanced server architecture to end users and allowing software on the server architecture to be updated without downtime during a transition to the new software version. Run-time errors due to incompatibilities between datatypes, interfaces, deserialization methods, and classes loaded by class loaders in object oriented server software may be avoided by using the system to track a software version used in association with a particular task. By routing requests related to a particular task to a particular server running the same software version, compatibility is maintained and efforts to migrate data across software servers or add code to handle cross-version compatibility are unnecessary.

Abstract: A system and computer-implemented method for providing a load-balanced server architecture to end users and allowing software on the server architecture to be updated without downtime during a transition to the new software version. Run-time errors due to incompatibilities between datatypes, interfaces, deserialization methods, and classes loaded by class loaders in object oriented server software may be avoided by using the system to track a software version used in association with a particular task. By routing requests related to a particular task to a particular server running the same software version, compatibility is maintained and efforts to migrate data across software servers or add code to handle cross-version compatibility are unnecessary.

Abstract: A system and computer-implemented method for providing a load-balanced server architecture to end users and allowing software on the server architecture to be updated without downtime during a transition to the new software version. Run-time errors due to incompatibilities between datatypes, interfaces, deserialization methods, and classes loaded by class loaders in object oriented server software may be avoided by using the system to track a software version used in association with a particular task. By routing requests related to a particular task to a particular server running the same software version, compatibility is maintained and efforts to migrate data across software servers or add code to handle cross-version compatibility are unnecessary.