Abstract: Methods and systems are provided for end-to-end text recognition in digitized documents of handwritten characters over multiple lines without explicit line segmentation. An image is received. Based on the image, one or more feature maps are determined. Each of the one or more feature maps include one or more feature vectors. Based at least in part on the one or more feature maps, one or more scalar scores are determined. Based on the one or more scalar scores, one or more attention weights are determined. By applying the one or more attention weights to each of the one or more feature vectors, one or more image summary vectors are determined. Based at least in part on the one or more image summary vectors, one or more handwritten characters are determined.

Abstract: Methods and systems are provided for end-to-end text recognition in digitized documents of handwritten characters over multiple lines without explicit line segmentation. An image is received. Based on the image, one or more feature maps are determined. Each of the one or more feature maps include one or more feature vectors. Based at least in part on the one or more feature maps, one or more scalar scores are determined. Based on the one or more scalar scores, one or more attention weights are determined. By applying the one or more attention weights to each of the one or more feature vectors, one or more image summary vectors are determined. Based at least in part on the one or more image summary vectors, one or more handwritten characters are determined.

Abstract: The systems and methods of the present disclosure enable a user to use a mobile device to automatically capture a high resolution image of a rectangular object.

Abstract: The systems and methods of the present disclosure use a mobile device equipped with a camera to capture and preprocess images of objects including financial documents, financial cards, and identification cards, and to recognize information in the images of the objects. The methods include detecting quadrangles in images of an object in an image data stream generated by the camera, capturing a first image, transforming the first image, binarizing the transformed image, recognizing information in the binarized image, and determining the validity of the recognized information. The method also includes communicating with a server of a financial institution or other organization to determine the validity of the recognized information.

Abstract: The systems and methods of the present disclosure enable a user to use a mobile device to automatically capture a high resolution image of a rectangular object.

Abstract: A system, method, and computer program product for processing of objects are disclosed. A processor coupled to a graphical user interface is configured to display an object. The processor receives input from a user concerning the object, wherein input relates to at least a partial location of the object, as a mouse position close to the object, a line approximately covering the vertical or horizontal extent of the object, or a box approximately covering the object. The processor provides input to a keying module, wherein the keying module processes the received input and provides the input to a recognition engine. The recognition engine is in communication with the keying module. Based on the received input, the recognition engine provides an exact information concerning the received input to the keying module, as an exact location, a recognition result, and a confidence score qualifying the reliability of the recognition results.

Abstract: The systems and methods of the present disclosure use a mobile device equipped with a camera to capture and preprocess images of objects including financial documents, financial cards, and identification cards, and to recognize information in the images of the objects. The methods include detecting quadrangles in images of an object in an image data stream generated by the camera, capturing a first image, transforming the first image, binarizing the transformed image, recognizing information in the binarized image, and determining the validity of the recognized information. The method also includes communicating with a server of a financial institution or other organization to determine the validity of the recognized information.

Abstract: The systems and methods of the present disclosure use a mobile device equipped with a camera to capture and preprocess images of objects including financial documents, financial cards, and identification cards, and to recognize information in the images of the objects. The methods include detecting quadrangles in images of an object in an image data stream generated by the camera, capturing a first image, transforming the first image, binarizing the transformed image, recognizing information in the binarized image, and determining the validity of the recognized information. The method also includes communicating with a server of a financial institution or other organization to determine the validity of the recognized information.

Abstract: The systems and methods of the present disclosure use a mobile device equipped with a camera to capture and preprocess images of objects including financial documents, financial cards, and identification cards, and to recognize information in the images of the objects. The methods include detecting quadrangles in images of an object in an image data stream generated by the camera, capturing a first image, transforming the first image, binarizing the transformed image, recognizing information in the binarized image, and determining the validity of the recognized information. The method also includes communicating with a server of a financial institution or other organization to determine the validity of the recognized information.

Abstract: The systems and methods of the present disclosure use a mobile device equipped with a camera to capture and preprocess images of objects including financial documents, financial cards, and identification cards, and to recognize information in the images of the objects. The methods include detecting quadrangles in images of an object in an image data stream generated by the camera, capturing a first image, transforming the first image, binarizing the transformed image, recognizing information in the binarized image, and determining the validity of the recognized information. The method also includes communicating with a server of a financial institution or other organization to determine the validity of the recognized information.

Abstract: A system, method, and computer program product for processing of objects are disclosed. A processor coupled to a graphical user interface is configured to display an object. The processor receives input from a user concerning the object, wherein input relates to at least a partial location of the object, as a mouse position close to the object, a line approximately covering the vertical or horizontal extent of the object, or a box approximately covering the object. The processor provides input to a keying module, wherein the keying module processes the received input and provides the input to a recognition engine. The recognition engine is in communication with the keying module. Based on the received input, the recognition engine provides an exact information concerning the received input to the keying module, as an exact location, a recognition result, and a confidence score qualifying the reliability of the recognition results.