Method, computer readable medium, and apparatus of recognizing character zone in a digital document. In an embodiment, the method includes classifying a segment of the digital document as including text, calculating at least one parameter value associated with the classified segment of the digital document, determining, based on the calculated at least one parameter value, a zonal parameter value, classifying the segment of the digital document as a handwritten text zone or as a printed text zone based on the determined zonal parameter value and a threshold value, the threshold value being based on a selection of an intersection of a handwritten text distribution profile and a printed text distribution profile, each of the handwritten text distribution profile and the printed text distribution profile being associated with a zonal parameter corresponding to the determined zonal parameter value, and generating, based on the classifying, a modified version of the digital document.

A method and system for performing on-device image to text conversion are provided. Embodiments herein relates to the field of performing image to text conversion and more particularly to performing on-device image to text conversion with an improved accuracy. A method performing on-device image to text conversion is provided. The method includes language detection from an image, understanding of text in an edited image and using a contextual and localized lexicon set for post optical character recognition (OCR) correction.

A method and system for performing on-device image to text conversion are provided. Embodiments herein relates to the field of performing image to text conversion and more particularly to performing on-device image to text conversion with an improved accuracy. A method performing on-device image to text conversion is provided. The method includes language detection from an image, understanding of text in an edited image and using a contextual and localized lexicon set for post optical character recognition (OCR) correction.

A display apparatus includes circuitry to receive an input of hand drafted data, display, on a display, an object corresponding to the hand drafted data and an external image that is externally input, perform character recognition on the hand drafted data to convert the hand drafted data into text data, and display, on the display, a search result obtained using at least a part of the external image and at least a part of the text data.

A display apparatus includes circuitry to receive an input of hand drafted data, display, on a display, an object corresponding to the hand drafted data and an external image that is externally input, perform character recognition on the hand drafted data to convert the hand drafted data into text data, and display, on the display, a search result obtained using at least a part of the external image and at least a part of the text data.

An image processing system performs tilt correction with respect to a document image having handwritten characters and typed letters mixed with each other. The image processing system separates the document image into an image with handwritten characters determined as handwritten characters and an image without handwritten characters not determined as handwritten characters, estimates a tilt angle of the image without handwritten characters, and corrects the document image on the basis of the tilt angle.

An image processing system performs tilt correction with respect to a document image having handwritten characters and typed letters mixed with each other. The image processing system separates the document image into an image with handwritten characters determined as handwritten characters and an image without handwritten characters not determined as handwritten characters, estimates a tilt angle of the image without handwritten characters, and corrects the document image on the basis of the tilt angle.

An image processing device according to the present disclosure includes: a movement detection unit that detects movement of a movable writing medium based on moving image data obtained by imaging the writing medium and a writer writing on the writing medium; and a writing portion detection unit that detects a writing portion on the writing medium, wherein the writing portion detection unit executes processing corresponding to the movement of the writing medium in a case where the movement of the writing medium is detected.

An image processing device according to the present disclosure includes: a movement detection unit that detects movement of a movable writing medium based on moving image data obtained by imaging the writing medium and a writer writing on the writing medium; and a writing portion detection unit that detects a writing portion on the writing medium, wherein the writing portion detection unit executes processing corresponding to the movement of the writing medium in a case where the movement of the writing medium is detected.

Methods for managing notes, either digital notes or images of physical notes. The methods use optical character recognition to convert handwritten content into characters and icons. The methods also determine sizes of non-square physical notes when imaged by a camera from various angles. For curled notes or damaged notes such as a note missing a corner, the methods detect and process edges of a physical note in an image and, using the detected edges, convert the image of the physical note into a corresponding digital note without curl or damage.