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Chinese Character Recognition generally does its best to identify a handwritten Chinese character. It seldom cares about normativity of writings. In the paper, we propose an on-line evaluation approach to normativity of Chinese character writing, which is based on position vector of strokes of character writing. The approach can find whether or not the order and location of strokes of character writing...
We investigate the recognition of handwritten musical notation using Hidden Markov Models (HMMs). In a non-gestural approach, handwritten musical notation is entered naturally via a pen tablet as we would do using pen and paper. A sequence of observed ink patterns representing musical symbols is captured and used to construct different HMM models. The proposed approach exploits both global and local...
In this paper, we present a large scale offline handwritten Chinese character database-HCL2000 which will be made public available for the research community. The database contains 3,755 frequently used simplified Chinese-characters written by 1,000 different subjects. The writerspsila information is incorporated in the database to facilitate testing on grouping writers with different background such...
Imaginary stroke technique has been proved to be an effective solution to the problem of the stroke connection in online handwritten character recognition. However, it may cause confusions among characters with similar but actually different trajectories after adding imaginary strokes. In this paper, we first investigate both the benefit and the defect of the imaginary stroke technique, and then two...
T handwriting identification plays a very important role in the protection of copyright. This paper proposes a very efficient method to realize the automatic identification of handwriting. According to it the handwriting image of Chinese is projected separately on the X-axis, Y-axis, plusmn45degline, which are corresponding to horizontal line, top-down vertical line, left-downward slope line, short...
A new courtesy amount recognition module of CENPARMIpsilas check reading system (CRS) is proposed in this paper. The module consists of 3 main segments: pre-processing, segmentation and recognition, and post-processing. A new feedback-based segmentation algorithm is adopted for the segmentation task. Besides one individual numeral recognizer for numerals from dasia0psila to dasia9psila, one convolutional...
We propose to explicitly model white-spaces for Arabic handwriting recognition within different writing variants. Position-dependent character shapes in Arabic handwriting allow for large white-spaces between characters even within words. Here, a separate character model for white-spaces in combination with a lexicon using different writing variants and character model length adaptation is proposed...
A novel method to reduce the lexicon size in handwritten word recognition is proposed in this paper. Due to large lexica, the computational cost of current word recognisers is often too high for practical applications. The proposed lexicon reduction method is based on character shape codes. We examine four different shape code mappings based on machine printed character font, on handprint, and on...
Notice of Violation of IEEE Publication Principles"Modified Syntactic Method to Recognize Bengali Handwritten Characters"by M.A. Rahman and A. El Saddikin the IEEE Transactions on Instrumentation and Measurement, Vol 56, No. 6, December 2007, pp. 2623-2632After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has...
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