Posts Tagged ‘Handwriting recognition’:

The Research and Realization of Handwriting Number Recognition Based on ARM9

Intelligent technology had been developping rapidly in recent years. The product became more powerful, and it showed a trend of capability integration. As the most simple and directive method of man-machine conversation, handwriting recognition technique played an important role in intelligent device. Compared with traditional CISC processor, the new RISC processor ARM, can compute faster

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Based on Embedded Deaf-Blind Study of Barrier-Free Interactive Technology

With the post-PC era, computer industry and the progress of human civilization, coupled with the country advocated people-centered, the glorious goal of building a harmonious society and slogans. Disabled people to use information technology to solve interaction problems have aroused great attention of the whole society. Accessibility of information on special populations interactions are becoming

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Research on Recognition of On-Line Handwriting Documents

In the process of text input with traditional handwriting input method, users are in need of checking whether the recognition result is correct and selecting the true recognition results from the list of identified candidates. Such operations will interrupt the users’ideas. Writing process is difficult to write with ease and grace. The efficiency of the

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Research and Implementation of an On-line Handwriting Recognition System Based on Neural Network

Computer recognition of Chinese characters is an important branch of pattern recognition. On-Line Chinese Character Recognition (OLCCR) system accords with the nature habit when people write, so it can be easily accepted by people. Now researchers have done much research work on it and proposed many pattern recognition algorithms. On-line handwriting recognition has been basically

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Research of the Handwriting Recognition Algorithm Aimed at the Mobile Platform

With the development of Mobile Internet and the increasing popularity of mobile terminals, character recognition technology has become matured. As an efficient input method on the mobile platform, handwriting has been accepted by more and more users. During the recent 30 years, although researchers make great efforts on enhancing the recognition rate, the errors are

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Study on Orientation Free Unconstrained Handwritten Chinese Word Recognition

This dissertation researches the orientation free recognition method for unconstrained cursive handwritten Chinese word. This handwriting recognition technology can let users to freely write cursive Chinese words in any direction without any constraint. However, this research still has a lot of very difficult problems to be solved, such as: problems of tilt correction of cursive

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