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Deep Matching Network for Handwritten Chinese Character Recognition
Pattern Recognition, 2020Just like its remarkable achievements in many computer vision tasks, the convolutional neural networks (CNN) provide an end-to-end solution in handwritten Chinese character recognition (HCCR) with great success.
Zhiyuan Li +4 more
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Recognition of Handwritten Characters
1991In this chapter, we will use a neural network pattern matcher to recognize handwritten characters. We will discuss required preprocessing of input data, present the sample program, show sample program output, and compare the neural network approach to a more conventional software approach to solving this problem.
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DevNet: An Efficient CNN Architecture for Handwritten Devanagari Character Recognition
International journal of pattern recognition and artificial intelligence, 2020The writing style is a unique characteristic of a human being as it varies from one person to another. Due to such diversity in writing style, handwritten character recognition (HCR) under the purview of pattern recognition is not trivial.
Riya Guha +4 more
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Toward robust handwritten character recognition
Pattern Recognition Letters, 1993Abstract This paper addresses the problem of establishing a robust methodology for handwritten character recognition. First, conventional techniques in Japan are critically surveyed to clarify the state of the art and remaining problems. Second, new and promising approaches are enumerated from the viewpoint of general pattern recognition methodology.
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Handwritten (Marathi) compound character recognition
2015 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), 2015The past few years has concentrated research on OCR for Chinese, Japanese and many language scripts. A lot of work has been also reported on OCR for various Indian scripts, which are Devanagari, Malayalam, Bangla, Kannada, Gurumukhi, Gujarati, Oriya, Tamil, and Telugu etc.
Minakshi Sanjay Bhandare +1 more
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Video-based handwritten character recognition
IEEE International Conference on Acoustics Speech and Signal Processing, 2002In this paper, we propose a robust stroke-tracing algorithm for a video-based handwritten Chinese character recognition system. By using several error correction techniques, the algorithm works effectively against various shadow and noise problems for video-based stroke-tracing of complex Chinese characters.
null Xiaoou Tang, null Feng Lin
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An improved faster-RCNN model for handwritten character recognition
The Arabian journal for science and engineering, 2021Saleh Albahli +3 more
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Fuzzy Technique Based Recognition of Handwritten Characters
Image and Vision Computing, 2006The different methods for automatic pattern recognition are motivated by the way in which pattern classes are characterized and defined. In this paper, the handwritten characters (numerals) are preprocessed and segmented into primitives. These primitives are measured and labeled using fuzzy logic.
R.M. Suresh, S. Arumugam
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Stroke Based Handwritten Character Recognition
2012This work proposes a new stroke based methodology for handwritten character recognition. After the pre-processing, several steps are involved to achieve the recognition. First, the character is segmented into its strokes. Then, we determine the maximum length of the longest horizontal segment that can be inscribed on a stroke.
D. Álvarez, R. Fernández, L. Sánchez
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