37 results about "Letter recognition" patented technology

A hand-held game apparatus comprises a pointing device, such as a touch panel or the like. A predetermined program including a letter recognition program is transmitted from a stationary game apparatus to a plurality of hand-held game apparatuses. Players perform handwriting input using the touch panels or the like of the respective hand-held game apparatuses. A letter recognition process is performed in each hand-held game apparatus. A result of letter recognition is transmitted to the stationary game apparatus. In the stationary game apparatus, a game process is executed based on the result of letter recognition received from each hand-held game apparatus.

The related collection and record method for business card information by image recognition in mobile phone comprises: using phone camera to obtain card information, taking pre-process, analyzing image impression, dividing area, taking letter recognition to every area, recognizing data, analyzing information, and storing the data into telephone directory in phone. This invention needs no additional device, improves speed, and fit to wide application.

A hand-held game apparatus comprises a pointing device, such as a touch panel or the like. A predetermined program including a letter recognition program is transmitted from a stationary game apparatus to a plurality of hand-held game apparatuses. Players perform handwriting input using the touch panels or the like of the respective hand-held game apparatuses. A letter recognition process is performed in each hand-held game apparatus. A result of letter recognition is transmitted to the stationary game apparatus. In the stationary game apparatus, a game process is executed based on the result of letter recognition received from each hand-held game apparatus.

The invention discloses a handwriting recognition method and a handwriting recognition system based on WIFI channel state information. The method comprises the following steps of S1, using a data acquisition module to collect channel state information, processing the collected channel state information by using a movement section detection and segmentation method, and using a K-nearest neighbor algorithm and a dynamic time normalization method to train a classifier, thus acquiring a trained classifier; and S2, using the data acquisition module to acquire the collected channel state information, recognizing the collected channel state information by using the trained classifier, and thus acquiring a recognition result. According to the method and system provided by the invention, the handwriting letter recognition under the WIFI environment is achieved by using the channel state information of the wireless signal, the limitation that traditional behavior recognition needs the user to additionally carry special equipment is overcome, only the existing common consumption level WIFI equipment is needed, and the additional equipment overheads are reduced.

Disclosed is a system for recognizing a language letter inputted in a pen drag direction without switching a language mode in a terminal equipped with a touch screen having a plurality of letter input areas displayed thereon. The letter input areas have first language consonant letters that are divided into a plurality of pairs of basic and extended consonant letters. The basic and extended consonant letters of the first language are correspondingly mapped and assigned to a second language. A consonant letters-assigned to a letter input area corresponding to a touch pen input and type is selected and displayed when the touch pen input is present on the letter input areas. When the touch pen input is a pen drag in a vowel letter direction and is present on the letter input areas previously assigned vowel letter of the first language is displayed according to the vowel letter direction.

The invention relates to the field of computer vision and intelligent human-machine interaction, in particular to a human-machine interaction system based on machine vision and an interaction method of the system, and provides a method for carrying out static sign language letter recognition based on an improved SURF algorithm by combining a Kinect sensor. The Kinect sensor collects the depth image of a target area to carry out hand pixel area division, and interference caused by illumination changes and complex backgrounds can be eliminated. The improved SURF algorithm is used for extracting feature points, meanwhile, the self-adaption radius r is set, SURF feature points are screened grade by grade in the neighbourhood with r as the radius by comparing the number of the feature points and the feature point distance, the recognition rate is greatly improved, and the robustness of recognition work on the skin color, the illumination changes, the complex backgrounds and other environmental factors, angle changes and scale changes is guaranteed. To solve the problem that SURF feature vector dimensions are high, an SVM one-to-one classification method is adopted, SURF feature descriptors are classified and trained, and a recognition result is obtained.

A phonics learning system, comprising a letter identification board and letter manipulatives that may be placed on the letter identification board by a child, and a computing device connected to the letter identification board that identifies the letters placed on the board, generates a phonetic pronunciation for the combination of letters, and identifies any words or misspelled words.

The present invention measures reading fluency, which is simultaneous decoding and comprehension. Whether or not a person is a fluent reader is determined by the size of the visual unit, or sting of letters, used in word recognition In order to measure the size of the visual unit used in word recognition, a lexical decision task (“LDT”) is used in which short and long words are presented on a display device. The person determines if the string of letters formulates a word. The person enters their response on an input device and the results are recorded. A score is calculated that measures reading fluency. The ability to correctly identify a string of letters as a word using holistic processing, rather than letter-by-letter, is the hallmark of a fluent person.

The related collection and record method for business card information by image recognition in mobile phone comprises: using phone camera to obtain card information, taking pre-process, analyzing image impression, dividing area, taking letter recognition to every area, recognizing data, analyzing information, and storing the data into telephone directory in phone. This invention needs no additional device, improves speed, and fit to wide application.

Disclosed herein are an alphabet input device and an alphabet recognition system in a small-sized keypad. The device includes: a first keypad part comprising a plurality of buttons each of which is assigned with a symbol extracted from strokes of alphabet characters so that the alphabet characters be input by one of the buttons or a combination of two or more of the buttons; and a second keypad part comprising one or more buttons each assigned with an alphabet character having a high usage frequency. With the device, alphabet characters can be inputted in a simper and more efficient manner.

The embodiment of the present invention discloses a method, device and terminal for searching contacts, relates to the field of communication technology, and can reduce the time spent by elderly users and people with low character and letter recognition ability in the process of searching for contacts. The method in the embodiment of the present invention includes: receiving indication information input by the user, the indication information being used to represent the area selected by the user; determining the character corresponding to the area selected by the user; displaying contact information associated with the character, and The call records associated with the characters generated within a certain period of time, the certain period of time is a period of time with the current moment as the cut-off time. The present invention is applicable to the search process of contacts.

The invention provides a mobile robot positioning method based on digital letter recognition, including: making a logo picture, setting a number logo for obtaining coordinate information and an angle logo for obtaining direction and angle information on the logo picture; placing the robot working area in the world coordinate system , and lay multiple logo pictures in the working area, and establish a number logo-coordinate comparison table at the same time; when the robot is moving, when the logo picture is photographed, it will recognize the number logo and compare it with the number logo-coordinate comparison table to obtain The coordinate information corresponding to the current ID number; identify the angle ID at the same time, and obtain the current traveling direction of the robot and the offset angle relative to the world coordinate system. The logo containing coordinate information in the logo picture of the present invention is a number letter, which has the advantages of sufficient number information and easy reading, and does not require alignment, and the information can be read correctly regardless of scanning at any angle.

The present application belongs to the technical field of character recognition, and in particular relates to a Uighur handwritten letter recognition method, system and electronic equipment. The method for recognizing Uyghur handwritten letters includes: step a: collecting / reading / reading the original handwritten samples of Uyghur letters; step b: preprocessing the original handwritten samples, converting the original handwritten samples into two value image; step c: input the binary image into the convolutional neural network for classification training and testing, and obtain the recognition result of the original handwritten sample. The application effectively improves the performance of the network model, and the recognition accuracy is high.

The invention provides a system and method for Tibetan input with combination of hand writing and keys. The system provided by the invention is composed of five parts including a Tibetan track collection module, a Tibetan hand writing basic letter recognition module, an image display module, a key receiving module and a Tibetan letter combined module. The method provided by the invention comprises the steps that (1) a database is established; (2) hand writing Tibetan basic letters are input; (3) the hand wiring Tibetan basic letters are recognized; (4) images of candidate Tibetan basic letters are displayed; (5) Tibetan basic letters are selected; (6) the selected images of the Tibetan basic letters are displayed; (7) unicode codes corresponding to the Tibetan basic letters are stored; (8) Tibetan additional letters are input; (9) unicode codes corresponding to the Tibetan additional letters are stored; and (10) Tibetan syllables are output. According to the invention, the Tibetan syllables could be input efficiently, conveniently, naturally and accurately on a mobile terminal.

The invention discloses a Manchu character recognition method and system, which can quickly recognize part of the letters in the text image, so that the Manchu characters in the database storing the Manchu characters corresponding to the letters can be quickly processed according to the recognized letters. Quickly and accurately locate and output all the characters and numbers of the letters corresponding to the standard images of letters marked as associated letters in the database. Through the sliding window, all similar letters are sequentially identified on the Manchu image. According to the sliding window Partial recognition of letters and partial adjustment of images are compared with standard images of letters to reduce computational complexity and improve recognition accuracy. Part of the letter area can be indexed with high accuracy, and partial recognition ensures the reliability of letter recognition. , which reduces the probability of false positive recognition.