A three-dimensional printing modeling apparatus for hand-written characters and a method thereof are disclosed. Based on the fact that hand-written characters can be finished in one stroke, the present disclosure includes identifying linking feature information of strokes inside or between the hand-written characters, forming a curve linked between the strokes inside or between the hand-written characters according to the linking feature information, and performing three-dimensional modeling of the hand-written characters to obtain a three-dimensional printing object.

A method for facilitating handwriting practice includes: generating handwriting strokes in response to user input of user-writing strokes; generating an input image that includes the handwriting strokes, and that has a shape similar to a shape of a standard image associated with a standard word character; scaling the input image to generate a scaled image with a size that is the same as a size the standard image; overlapping the standard image and the scaled image; comparing an n.sup.th handwriting stroke in the scaled image with an n.sup.th standard stroke in a standard order of the standard word character; and when the n.sup.th handwriting stroke does not correspond in position to the n.sup.th standard stroke, displaying a notification of a stroke order error.

For secure handwriting input for password fields, an apparatus for using a tone indicator to identify language in text recognition is disclosed. The apparatus may include a processor, a handwriting input unit operatively coupled to the processor, a display operatively coupled to the processor, a handwriting element module that identifies a handwriting element from handwriting input, an input replication module that controls the display to present the handwriting element, and a privacy module that controls the display to obscure the handwriting element in response to a predetermined trigger event. Obscuring the handwriting element may include removing the handwriting element, rendering transparent the handwriting element, replacing the handwriting element and an area surrounding the handwriting element with a colored area, and/or replacing the handwriting element with an anonymizing symbol. A method and computer program product also perform the functions of the apparatus.

One or more embodiments disclose a method and an apparatus including a memory, and a processor operatively connected to the memory. The processor is configured to, as handwriting is input by a user, analyze strokes of the input handwriting, generate search data and action link data, based on the analyzed strokes, generate search-based recognition data including the search data and link flag information associated with the action link data, and store a handwriting file including the generated search-based recognition data. Various embodiments are possible.

A system and method supporting signature verification. An input signature from a contact point of a stylus at a touch-sensitive surface is received. At least one sensor detects a first set of characteristics of the input signature that represents how the stylus is used when a present security level is a first level, and a second set of characteristics is determined when a present security level is a second security level. The second set of characteristics is a subset of the first set with fewer characteristics than the first set. One of the first set of characteristics or the second set of characteristics is transmitted to a characteristic receiving device to permit the input signature to be authenticated as a function, at least in part, of the first set or the second set of characteristics.

A system and method is able to recognize a user's natural superimposed handwriting without any explicit separation between characters. The system and method is able to process single-stroke and multi-stroke characters. The system and method can also process cursive handwriting. Further, the system and method can determine the boundaries of input words either by the use of a specific user input gesture or by detecting the word boundaries based on language characteristics and properties. The system and method analyzes the handwriting input through the processes of segmentation, character recognition, and language modeling. These three processes occur concurrently through the use of dynamic programming.

A system, method and computer program product for use in digital note taking with handwriting input to a computing device are provided. The computing device is connected to an input device in the form of an input surface. A user is able to provide input by applying pressure to or gesturing above the input surface using either his or her finger or an instrument such as a stylus or pen. The present system and method monitors the input strokes. The computing device further has a processor and at least one application for recognizing the handwriting input under control of the processor. The at least one system application is configured to cause display of, on a display interface of a computing device, digital ink in a block layout in accordance with a layout of blocks of the handwriting input and a configuration of the computing device display interface.

A handwriting text recognition system based on neural network includes a stroke input processor for receiving tracks of online handwriting texts, a string database for storing a large amount of the tracks; a word recognition neural network; and an after-processor being connected to the string database and the output interface of the text recognition neural network; The handwriting text recognition system based on neural network provides higher rates of confidences. Some natural languages frequently used all over the world can be recognized with a higher accuracy (including languages written from right to left and from left to right). The association relations between the input strokes and the character strings can be provided. It could support any strokes with irregular written orders.

In some examples, systems and methods for formatting ink are provided. Ink stroke data may be received, letters may be identified from the ink stroke data, and spacing may be identified between the letters. A user command and semantic context may be received. An action may be determined based on the user command, the semantic context, and the spacing between the letters. Further, the action may be performed.

In some examples, systems and methods for formatting ink are provided. Ink stroke data may be received, letters may be identified from the ink stroke data, and spacing may be identified between the letters. A user command and semantic context may be received. An action may be determined based on the user command, the semantic context, and the spacing between the letters. Further, the action may be performed.