Abstract:
A system and method for facilitating authentication of an electronic signature includes receiving electronic signature data associated with an electronic signature of a signer, the electronic signature data comprising at least biometric data associated with at least one of the electronic signature and the signer. A signature icon is generated by using at least the received electronic signature data, wherein the signature icon comprises a coded visual representation of the electronic signature data. The signature icon is provided on a document signed by the signer by way of the electronic signature such that the signature icon is exhibited on the document at least when the document is printed or when the document is displayed on a display screen associated with a computing device or machine, wherein the signature icon facilitates authenticating the electronic signature of the signer.
Abstract:
A number of different tags are input in a fax cover sheet that tell an OCR system not only the identity of the supplier, but also to which client the document should be routed. The OCR system identifies a number of these tags and compares them to stored supplier data to validate to which supplier the document belongs. If the system cannot validate the document, it is routed to a GUI for manual sorting. If there is no coversheet, the system relies upon the OCR system to locate keywords on the document and caller ID information to suggest a correct supplier. The OCR system also clips a separate, horizontal slice of the document ('snippet') that corresponds to the display of any line item and places it in a data base for future reference and reporting. The application collects and associates all corresponding snippets to their originating line items.
Abstract:
An interactive input system, method and computer readable medium for handling objects representing annotations on an interactive input system are disclosed. The method includes creating an annotation on the interactive input system, associating the annotation with a temporary grouping region, and in the event that a threshold amount of time passes before a further annotation is created within a threshold distance of the temporary grouping region, disabling the temporary grouping region to thereafter prevent automatic grouping with the annotation of any further annotation.
Abstract:
Recognition of handwritten words by an electronic device is described. A plurality of strokes are received at a common input region of the device. The strokes define a word comprising a plurality of symbols; a relative geometry of a first subset of the strokes defines a first symbol and a relative geometry of a second subset of the strokes defines a second symbol. The relative geometry of the first subset is not related to the relative geometry of the second subset. At least one stroke of the first subset is spatially superimposed over at least one stroke of the second subset. A processor determines the word based on the strokes without requiring recognition of the symbols. A word is determined at least in part on an entry sequence of subsets of the plurality of strokes.
Abstract:
Described is a technology that provides an integrated platform for users to use different kinds of digital ink (e.g., handwritten characters, sketched shapes, handwritten formulas) when interacting with computer programs. The platform interprets the user's digital ink input and outputs one or more associated items into an application program. The output items can be customized for different application programs. In one aspect, the platform includes an ink panel having different operating modes for receiving digital ink, and a recognition service that recognizes different types of digital ink. The recognition service may include a unified recognizer that recognizes different types of digital ink, e.g., characters and shapes. Another recognizer may be included such as an equation recognizer. If the recognition result is text while in a non-text mode, the text may be used in a keyword search to locate items; otherwise, the recognition result may be used without keyword searching.
Abstract:
A design scheme of HMM model topology adapted to recognize the hand-written East-Asian character with respect to the feature of the East-Asian character, and a method for establishing HMM model of such a topology are provided, which take account of the features of the abundance of the hand-written East-Asian character strokes, the variety of the orders of the strokes, the complexity of the structures, the variety of the writing styles, and the uncertainty of the connection between strokes, wherein the above problems are solved by means of introducing the states of the corners and providing multiple paths as well as parallel states, in addition, the amount of data and the complexity of operation could be reduced by implementing the clustering and combination operations.
Abstract:
Various technologies and techniques are disclosed that improve handwriting recognition operations. Handwritten input is received in training mode and run through several base recognizers to generate several alternate lists. The alternate lists are unioned together into a combined alternate list. If the correct result is in the combined list, each correct / incorrect alternate pair is used to generate training patterns. The weights associated with the alternate pairs are stored. At runtime, the combined alternate list is generated just as training time. The trained comparator- net can be used to compare any two alternates in the combined list. A template matching base recognizer is used with one or more neural network base recognizers to improve recognition operations. The system provides comparator-net and reorder-net processes trained on print and cursive data, and ones that have been trained on cursive-only data. The respective comparator-net and reorder-net processes are used accordingly.
Abstract:
A method for recognition of a handwritten pattern comprising one or more curves is presented. The method comprises a step of receiving sample data representing the handwritten pattern. The method further comprises a step of segmenting the handwritten pattern by detecting segmentation points on each curve, and by dividing the handwritten pattern into segments. Further, the method comprises a step of comparing the handwritten pattern to templates wherein the comparing comprises a step of normalizing said segments according to a scheme which is independent of the templates to which the segments are to be compared, and a step of determining matching measures for selecting at least one sequence of templates representing a recognintion candidate of the handwritten pattern.
Abstract:
A device for converting digital images taken along a predefined movement pattern into a control signal. The device comprises an image input device having a connection to a image sensor. The image input device is adapted to receive the digital images captured during the displacement of the image sensor and determine whether motion measured therein corresponds to any prestored movement pattern, that is to say to a predefined gesture. The device further comprises a movement pattern converter to convert the recognized pattern into the control signal.