Abstract
Handwriting capitalization recognition is a function of distinguishing handwritten capital letters by means of machine or computer intelligence, which is classified into the field of optical character recognition. Given that capital letters are widely used around the world, identification and analysis are often used as the main components of some control systems. Therefore, the research on handwritten capital letter recognition is also very practical and has important practical significance. The key part of the research contained in this paper is the image preprocessing and the optimal selection of feature vectors, and finally completes the design of handwritten digit recognition system. In this paper, the Fourier and Bayesian commonly used are compared, and eventually the Fourier transform feature is applied to the system classification identification. After completing the test on the relevant experimental data, the results show that the handwritten capital recognition system established in this paper has a high recognition accuracy for handwritten capital letters after repeated training.
Highlights
1.1 Subject background and significanceDue to the prevalence of information technology in daily life, the application of computer networks is constantly evolving
The environment designed in this paper is VC platform, which recognizes the handwritten English letters connected to the machine
MFC is derived from the structure and startup part of Microsoft's C++ platforming software, MFC is attached to a development tool library in a supporting software, such as MFC's VC++ key location The difference: C + + belongs to a programming language, which helps humans understand the development of software
Summary
Due to the prevalence of information technology in daily life, the application of computer networks is constantly evolving. In the actual production life, there are handwriting functions on mobile phones and computers, which involves the identification of handwritten capital letters. Optical Character Recognition Technology (OCR) (optical character recognition) has the intelligent function of using computer to send information on paper in a short period, using relevant software systems to convert information into text application technology, and can this text is adjusted[1]. Handwriting recognition has always been a hot research direction, and data collection, processing and screening are all dependent on this technology
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