Results 241 to 250 of about 54,146 (282)

Online Continues Vietnamese Handwritten Character Recognition Based on Microsoft Handwritten Character Recognition Library

APCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems, 2006
In recent years, there are many types of equipment using pen-based operations such as Tablet PC, intelligent mobiles and pocket devices such as PDA, Pocket PC etc... In order to input data into computers, pen-based operations are more advantage and friendly than other methods. Therefore, online handwritten character system is the preferred input method
Ngo Quoc Tao, Pham Van Hung
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ANN-based handwritten character recognition

SICE '99. Proceedings of the 38th SICE Annual Conference. International Session Papers (IEEE Cat. No.99TH8456), 2003
Based on an artificial neural network, digital image processing, and features extraction theory, the authors analyzed a BP network's defect then presented improving solutions. In this paper, a new kind of handwritten character system has been constructed.
null Huang Hanmin, null Huang Xiyue, null Zhang Ping, null Chai yi, null Shi Weiren   +4 more
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Offline handwritten Gurmukhi character recognition

Proceeding of the workshop on Document Analysis and Recognition, 2012
Offline handwritten character recognition (OHCR) is the method of converting handwritten text into machine processable layout. Since late sixties, efforts have been made for offline handwritten character recognition throughout the world. Principal Component Analysis (PCA) has also been used for extracting representative features for character ...
Munish Kumar, R. K. Sharma, M. K. Jindal
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Recognition of Handwritten Characters

1991
In 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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Toward robust handwritten character recognition

Pattern Recognition Letters, 1993
Abstract 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), 2015
The 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, Anuradha Sopan Kakade   +1 more
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Video-based handwritten character recognition

IEEE International Conference on Acoustics Speech and Signal Processing, 2002
In 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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Fuzzy Technique Based Recognition of Handwritten Characters

Image and Vision Computing, 2006
The 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

2012
This 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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Off-line Telugu handwritten characters recognition using optical character recognition

2017 International conference of Electronics, Communication and Aerospace Technology (ICECA), 2017
The Aim of the proposed paper is to recognize offline Hand written Telugu characters using Optical character recognition, OCR is one of the most popular and challenging topic of pattern recognition This paper proposes an OCR system for Telugu documents which comprises of three stages, namely pre-processing, feature extraction, and classification.
N Prameela, P Anjusha, R Karthik
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