A method for recognizing characters of handwritten input text includes: receiving, by a handwriting input area, a handwritten input text from a user; calculating, by a controller, a center axis of the handwritten input text; calculating, by the controller, a rotation angle of the center axis based on a reference axis; correcting, by the controller, a slope of the handwritten input text by the rotation angle so that the slope of the handwritten input text is parallel to the reference axis; and performing, by the controller, character recognition of the handwritten input text acquired by correction of the slope.

An electronic device is provided. The electronic device includes a display and at least one processor, wherein the at least one processor can be configured to identify a first tilt between a first handwriting input displayed on the display and a first preceding handwriting input that precedes the first handwriting input, the first handwriting input corresponding to a first block, identify a second tilt between a second handwriting input displayed on the display and a second preceding handwriting input that precedes the second handwriting input, the second handwriting input being continuous to the first handwriting input, use the first tilt and the second tilt to determine whether the second handwriting input corresponds to the first block or corresponds to a second block differing from the first block, and perform, based on the second handwriting input corresponding to the second block, at least one operation for processing a plurality of handwriting inputs indicating the second block.

Some embodiments of the invention provide a novel method for recognizing characters that are input through touch strokes on a touch-sensitive sensor (e.g., a touch-sensitive display screen or a touch-sensitive surface) of a device (e.g., a mobile device, a remote control, a trackpad, etc.). In some embodiments, the sensor has a space-constrained area for receiving the touch input. In some embodiments, the method places no limitations on where the user can write in the space provided by the device. As such, successive characters might not follow each other in the space. In fact, later characters might overlap earlier characters or they might appear before earlier characters.

The present disclosure relates to a method and system of processing original handwriting input, the system and method being capable of recognize a plurality of strokes provided on the input recognition interface, the method including: determining a stroke box around each stroke; determining overlap between the stroke boxes; correlating overlapping stroke boxes to one or more characters; providing a character box around each of the one or more characters; determining overlap between character boxes; correlating overlapping character boxes to one or more words; providing a word box around each of the one or more words; provide a word margin around each of the one or more word boxes; determining overlap between each word box to determine a line; wherein each of the characters, words, or lines can be individually selected and rearranged, the system automatically adjusting spacing or placement of surrounding elements to allow for the rearrangement.

The present disclosure relates to a computer-implemented method for handwriting-to-text-summarization, comprising obtaining, via a user interface of a system, a handwriting input representing a handwriting of a user of the system for handwriting-to-text-summarization, recognizing a text in the handwriting input, extracting at least one dynamic feature of the handwriting from the handwriting input, generating a text summary of the text, wherein generating the text summary is based on the text and on the at least one dynamic feature of the handwriting. The present disclosure also relates to a system for handwriting-to-text-summarization, comprising a user interface comprising a capturing subsystem configured to capture a handwriting of a user of the system, and wherein the system is configured to run the method for handwriting-to-text-summarization.

An optimal recognition for handwritten input based on receiving a touch input from a user may be selected by applying both a delayed stroke recognizer as well as an overlapping recognizer to the handwritten input. A score may be generated for both the delayed stroke recognition as well as the overlapping recognition and the recognition corresponding to the highest score may be presented as the overall recognition.

A method of generating a text line classifier including generating text line samples by use of a present terminal system font reservoir. The method also includes extracting features from the text line samples and pre-stored marked-up samples. The method further includes training models by use of the extracted features to generate a text line classifier for recognizing text regions. With the system font reservoir being utilized for generating text line samples, the generated text line classifiers can target different scenes or different requirements for text region recognition with a high degree of applicability and wide application in addition to ease of implementation. Together with the combinational use of the marked up samples for extracting features from the text line samples, the generated text line classifiers provide for enhanced classification efficiency and accuracy.

Some embodiments of the invention provide a novel method for recognizing characters that are input through touch strokes on a touch-sensitive sensor (e.g., a touch-sensitive display screen or a touch-sensitive surface) of a device (e.g., a mobile device, a remote control, a trackpad, etc.). In some embodiments, the sensor has a space-constrained area for receiving the touch input. In some embodiments, the method places no limitations on where the user can write in the space provided by the device. As such, successive characters might not follow each other in the space. In fact, later characters might overlap earlier characters or they might appear before earlier characters.

Handwriting verification methods and related computer systems, and handwriting-based user authentication methods and related computer systems are disclosed. A handwriting verification method comprises obtaining a handwriting test sample containing a plurality of available parameters, extracting geometric parameters, deriving geometric features comprising an x-position value and a y-position value for each of a plurality of feature points in the test sample, performing feature matching between geometric features of the test sample and a reference sample, determining a handwriting verification result based at least in part on the feature matching, and outputting the handwriting verification result. Techniques and tools for generating and preserving electronic handwriting data also are disclosed. Raw handwriting data is converted to a streamed format that preserves the original content of the raw handwriting data. Techniques and tools for inserting electronic handwriting data into a digital image also are disclosed.

An electronic handwriting device (e.g., a tablet device or smart phone) detects a first touch and a second touch (e.g., from a pen device) on or near a writing surface of the electronic handwriting device. The electronic handwriting device determines whether the first touch is a dropped touch. Upon determining that the first touch is a dropped touch, the electronic handwriting device applies data filtering to data that is potentially associated with the second touch. After the data filtering step, the electronic handwriting device determines whether to generate a stitching segment between a first line segment associated with the dropped touch and a second line segment associated with the second touch. The determination of whether to generate the stitching segment also may be based on other factors, such as the proximity of the second touch to the dropped touch.