Abstract: An electronic apparatus is provided. The electronic apparatus includes an input interface, a memory configured to store a plurality of first embedding vectors and content information related to each of the plurality of first embedding vectors, and at least one processor. The at least one processor is configured to obtain a sketch input of a user through the input interface, obtain a second embedding vector by inputting the sketch input to a neural network model, identify a first embedding vector, among the plurality of first embedding vectors, having a highest similarity with the second embedding vector, and obtain and output content information corresponding to the identified first embedding vector.

Abstract: An electronic device may include a display, a memory, and at least one processor operatively connected to the display and the memory. The at least one processor is configured to acquire, based on input of first handwritten information, first personalized feature data corresponding to a first personalized feature from the first handwritten information, acquire, from the first handwritten information, first content data from which the first personalized feature has been removed, encode the first personalized feature data, acquire first masked handwritten information based on the encoded first personalized feature data and the first content data, and provide the first masked handwritten information on the display.

Abstract: An electronic device is disclosed. The electronic device comprises a storage unit for storing a training model of a multi-dimensional long short-term memory (MDLSTM), and a processor for acquiring an image including at least one of handwritten text and printed text, identifying each text line region in the image through image processing, and recognizing text included in the each identified text line region, on the basis of the training model.

Abstract: Disclosed is an electronic device including: a memory, and a processor operatively connected to the memory. The memory stores instructions which, when executed, cause the processor to: obtain handwriting data including at least one letter; align the at least one letter with a reference line to generate target handwriting data; change at least one of a position or an angle of the at least one letter to generate distorted handwriting data; obtain correction information for correcting the distorted handwriting data to correspond to the target handwriting data; and store the correction information in the memory.

Abstract: A system and method for detecting, identifying, and displaying handwriting-based entry is provided. The system and method include features for detecting entry of at least one first letter based on handwriting, identifying a style of the at least one first letter, and displaying at least one second letter associated with the at least one first letter based on, and in the form of, the identified style of the at least one first letter.

Abstract: Provided is an electronic device which may include a processor configured to extract objects from at least one image and/or video; analyze information related to the objects extracted from the at least one image and/or video; select the style of a story to be generated based on the extracted objects and the analyzed information; generate the story by using the extracted objects and the analyzed information; and change an object included in the generated story into the selected style.

Abstract: An electronic device for converting a handwriting input to text and a method of operating the same. The method includes obtaining information about a handwriting input, recognizing at least one character corresponding to the handwriting input, obtaining a character sequence in which the at least one character is arranged in order and geometry information of the at least one character, obtaining at least one score of at least one candidate text in which the at least one character is expressed differently depending on a mathematical formula structure based on the character sequence and the geometry information, and converting the handwriting input to text including at least one character expressed in a mathematical formula structure by selecting at least one text from among the at least one candidate text based on the at least one score.

Abstract: Disclosed is an electronic device including: a memory, and a processor operatively connected to the memory. The memory stores instructions which, when executed, cause the processor to: obtain handwriting data including at least one letter; align the at least one letter with a reference line to generate target handwriting data; change at least one of a position or an angle of the at least one letter to generate distorted handwriting data; obtain correction information for correcting the distorted handwriting data to correspond to the target handwriting data; and store the correction information in the memory.

Abstract: An electronic device is disclosed. The electronic device comprises a storage unit for storing a training model of a multi-dimensional long short-term memory (MDLSTM), and a processor for acquiring an image including at least one of handwritten text and printed text, identifying each text line region in the image through image processing, and recognizing text included in the each identified text line region, on the basis of the training model.

Abstract: A system and method for detecting, identifying, and displaying handwriting-based entry is provided. The system and method include features for detecting entry of at least one first letter based on handwriting, identifying a style of the at least one first letter, and displaying at least one second letter associated with the at least one first letter based on, and in the form of, the identified style of the at least one first letter.