Abstract: Various embodiments of the present disclosure can include systems, methods, and non-transitory computer readable media configured to receive an input image associated with a test object. A set of edges are identified in the input image. A set of circles are identified based on the set of edges. A subset of circles is selected from the set of circles. The subset of circles is matched to a set of reference circles associated with a reference object. An authentication score is generated for the test object based on the matching of the subset of circles to the set of reference circles.

Abstract: Various embodiments of the present disclosure can include systems, methods, and non-transitory computer readable media configured to receive an input image associated with a test object. A set of edges are identified in the input image. A set of circles are identified based on the set of edges. A subset of circles is selected from the set of circles. The subset of circles is matched to a set of reference circles associated with a reference object. An authentication score is generated for the test object based on the matching of the subset of circles to the set of reference circles.

Abstract: Various embodiments of the present disclosure can include systems, methods, and non-transitory computer readable media configured to receive an input image associated with a test object. A set of edges are identified in the input image. A set of circles are identified based on the set of edges. A subset of circles is selected from the set of circles. The subset of circles is matched to a set of reference circles associated with a reference object. An authentication score is generated for the test object based on the matching of the subset of circles to the set of reference circles.

Abstract: Provided is a method of authenticating a user by correlating speech and corresponding lip shape. An audiovisual of a user requesting authentication is captured. The audiovisual is processed to generate a speech vector quantization sequence and a corresponding lip vector quantization sequence of the user. A likelihood of the speech vector quantization sequence and the corresponding lip vector quantization sequence with probability distributions of speech vector quantization code words corresponding to different lip shape vector quantization code words of the user requesting authentication weighed by probabilities of speech and lip vector quantization indices of the user requesting authentication is evaluated. If upon evaluation, a likelihood of the user requesting authentication being an authentic user is more than a predefined threshold, the user is authenticated.

Abstract: Presented is a skew detection apparatus. In one form, the apparatus estimates skew based on the locations of a set of foreground content pixels or a set of edge pixels that are nearest to the side of an image of a document. In another form, the apparatus includes a skew estimation unit adapted to estimate skew based on the orientation of foreground or background content in the interior of a document. In another form, the apparatus estimates skew using segments of an image of a document. Also presented is a document image processing apparatus including the skew detection apparatus.

Abstract: In one example, a method for image triggered transactions includes capturing an image of a document with an imaging device and searching a database for a template matching the captured image. If a matching template is found for the captured image, then retrieving pre-authored tasks associated with the captured image, extracting fields from the image related to the tasks, processing the extracted fields to obtain content to complete the tasks; and executing the selected task. If a matching template is not found for the captured image, then an authoring application is launched to add the captured image as a new template and author tasks associated with the captured image.

Abstract: Provided is a method of authenticating a user by correlating speech and corresponding lip shape. An audiovisual of a user requesting authentication is captured. The audiovisual is processed to generate a speech vector quantization sequence and a corresponding lip vector quantization sequence of the user. A likelihood of the speech vector quantization sequence and the corresponding lip vector quantization sequence with probability distributions of speech vector quantization code words corresponding to different lip shape vector quantization code words of the user requesting authentication weighed by probabilities of speech and lip vector quantization indices of the user requesting authentication is evaluated. If upon evaluation, a likelihood of the user requesting authentication being an authentic user is more than a predefined threshold, the user is authenticated.

Abstract: Presented is a skew detection apparatus. In one form, the apparatus estimates skew based on the locations of a set of foreground content pixels or a set of edge pixels that are nearest to the side of an image of a document. In another form, the apparatus includes a skew estimation unit adapted to estimate skew based on the orientation of foreground or background content in the interior of a document. In another form, the apparatus estimates skew using segments of an image of a document. Also presented is a document image processing apparatus including the skew detection apparatus.

Abstract: Presented is a skew detection apparatus. In one form, the apparatus estimates skew based on the locations of a set of foreground content pixels or a set of edge pixels that are nearest to the side of an image of a document. In another form, the apparatus includes a skew estimation unit adapted to estimate skew based on the orientation of foreground or background content in the interior of a document. In another form, the apparatus estimates skew using segments of an image of a document. Also presented is a document image processing apparatus including the skew detection apparatus.

Abstract: A system and method for using paper to interface with handwritten annotations and/or pre-defined templates with one or more computer applications is disclosed. In one embodiment, the method includes imaging content in the paper including pre-defined handwritten commands, associated syntax, one or more computer application identifiers and pointed data which is already existing on the paper, analyzing the imaged content to identify the pre-defined handwritten commands, the one or more computer applications associated with the one or more computer application identifiers, the associated syntax and the pointed data, extracting the pointed data into a specified format associated with the one or more computer applications, executing the one or more computer applications based on the identified pre-defined handwritten commands, the one or more computer application identifiers and the associated syntax, and importing the extracted pointed data into the one or more executed computer applications.

Abstract: In one example, a method for image triggered transactions includes capturing an image of a document with an imaging device and searching a database for a template matching the captured image. If a matching template is found for the captured image, then retrieving pre-authored tasks associated with the captured image, extracting fields from the image related to the tasks, processing the extracted fields to obtain content to complete the tasks; and executing the selected task. If a matching template is not found for the captured image, then an authoring application is launched to add the captured image as a new template and author tasks associated with the captured image.

Abstract: Presented is a method of posting content to a web site. A user input is obtained on a machine readable paper with a predefined template. Later, an electronic image of the machine readable paper is captured along with the user input. The electronic image of the machine readable paper is decoded to identify the predefined template and the predefined template is searched against a repository to find a web site corresponding to the predefined template of the machine readable paper. A web site based on user input is created or modified depending upon whether a web site corresponding to the predefined template of the machine readable paper is found.

Abstract: The method compares a first document 10 and a second document 20. The documents may be scanned in 110,112 or an electronic image formed in other ways 114,116. Each electronic image is then segmented into basic units 14,24 such as words, lines or paragraphs. Differences between the matched basic units 14, 24 are determined and a document 30 representing the differences is created 130 and output 132.

Abstract: Presented is a skew detection apparatus. In one form, the apparatus estimates skew based on the locations of a set of foreground content pixels or a set of edge pixels that are nearest to the side of an image of a document. In another form, the apparatus includes a skew estimation unit adapted to estimate skew based on the orientation of foreground or background content in the interior of a document. In another form, the apparatus estimates skew using segments of an image of a document. Also presented is a document image processing apparatus including the skew detection apparatus.

Abstract: Presented is a method of posting content to a web site. A user input is obtained on a machine readable paper with a predefined template. Later, an electronic image of the machine readable paper is captured along with the user input. The electronic image of the machine readable paper is decoded to identify the predefined template and the predefined template is searched against a repository to find a web site corresponding to the predefined template of the machine readable paper. A web site based on user input is created or modified depending upon whether a web site corresponding to the predefined template of the machine readable paper is found.

Abstract: A computer-implemented method for generating a search query for searching a source of data is disclosed. The method comprises: a) receiving image and/or text data; b) extracting one or more search query parameters from the image and/or text data; and c) generating the search query from the or each extracted parameter.

Abstract: A system and method for using paper to interface with handwritten annotations and/or pre-defined templates with one or more computer applications is disclosed. In one embodiment, the method includes imaging content in the paper including pre-defined handwritten commands, associated syntax, one or more computer application identifiers and pointed data which is already existing on the paper, analyzing the imaged content to identify the pre-defined handwritten commands, the one or more computer applications associated with the one or more computer application identifiers, the associated syntax and the pointed data, extracting the pointed data into a specified format associated with the one or more computer applications, executing the one or more computer applications based on the identified pre-defined handwritten commands, the one or more computer application identifiers and the associated syntax, and importing the extracted pointed data into the one or more executed computer applications.

Abstract: Methods for storing and managing hard copy documents and their modified versions are disclosed. Specifically, a method of storing a document and one or more related images of alterations made to the document, comprising capturing an image of the document; storing the image of the document in memory; capturing an image of an altered version of the document; comparing the image of the document to the image of the altered version of the document; extracting the differences between the image of the document and the image of the altered version of the document; creating an image of the extracted differences between the image of the document and the image of the altered version of the document; and storing the image of the extracted differences in memory.

Abstract: The method compares a first document 10 and a second document 20. The documents may be scanned in 110,112 or an electronic image formed in other ways 114,116. Each electronic image is then segmented into basic units 14,24 such as words, lines or paragraphs. Differences between the matched basic units 14, 24 are determined and a document 30 representing the differences is created 130 and output 132.