Structure Of Chinese Characters Research Articles

A stroke extraction method for multifont Chinese characters based on the reduced special interval graph

We describe a new method for representation of an image pattern, which we call the reduced special interval graph (RSIG). Any binary image pattern can be easily converted into a RSIG. Based on the RSIG, we can enlarge the scope of vision and process a much greater zone of the image. This helps us properly extract the feature of the image and identify the image pattern. We apply the RSIG to help us extract the strokes of Chinese characters by incorporating some knowledge about the structure of Chinese characters. We found this method can not only heuristically extract strokes but also heuristically eliminate noises including those added to strokes for the artistic sake. Experimental results reveal that the method based on the RSIG can extract the strokes of Chinese characters effectively and efficiently. Moreover, the RSIG can be applied to many other application areas, and it is an effective representation method in pattern recognition and image processing. >

A knowledge matrix representation for a rule-mapped neural network

Neural networks are noted for their learning and generalizing capabilities. However, their advancement and applicabilities are severely limited by the low comprehensibility of their internal knowledge. Previously, the authors have proposed a rule-mapped neural network model by incorporating domain knowledge initially. This paper suggests a tool named ‘knowledge matrix’, that produces symbolic interpretations of the network's response to an input. These interpretations can be shown to enhance the reasoning power of the system. Moreover, the system knowledge can be refined explicably. The proposed approach is tested with a Chinese character structure recognition problem. This is an attempt to model a human learning process that is commonly observed in many situations. For example, a trainee may be given a set of provisional rules at the very beginning which is expected to be moderated in accordance with his forthcoming experience.

Suggestions for Refining the Chinese Braille System

Readers of Chinese braille need an efficient system of sound-generated braille and an opportunity to gain access to the character structure. This article presents a brief history of the Chinese braille system and the Chinese character structure, discusses the present Chinese sound-generated braille system and its limitations, and proposes some refinements of the present system and some techniques for instruction.

An efficient knowledge-based stroke extraction method for multi-font chinese characters

Feature extraction is the most important thing in pattern recognition. Whether it is good or not affects the recognition rate seriously. Selecting the strokes as the features to describe a Chinese character is indeed a powerful approach. But it also suffers from the difficulty of stroke extraction. In this paper, some knowledge about strokes is derived by studying the structure of Chinese characters. This knowledge is then applied to help extract the strokes. The method cannot only heuristically extract strokes but can also heuristically eliminate noises including those added to strokes for artistic sake. Moreover, this method does not use any preprocessing like thinning or other transformations, so its extraction speed is very fast.

KNOWLEDGE PATTERN REPRESENTATION OF CHINESE CHARACTERS

This article discusses some intelligence aspects of Chinese characters. Some basic concepts of two-dimensional pattern representation and artificial intelligence such as semantic networks, forward chaining, deduction and the resolution principle are used to analyze and interpret the syntactic structure, representation, semantics and evolution of Chinese characters. The concept of degrees of ambiguity and the principle of new characters are investigated. It is found that Chinese characters are actually not only artistically elegant and culturally rich but also semantically meaningful and intelligently sound. Finally some topics for future research such as intelligent pattern recognition for Chinese characters, automatic learning and translation, and knowledge-based Chinese language understanding are discussed.

The structure of Chinese characters

The structure of Chinese characters

Approaches to chinese character recognition

Work on the recognition of Chinese characters is reviewed. All of this work has been reported in just the last nine years, and most of it since 1970. The topics covered are: printed Chinese Character Recognition—Half a dozen groups have tackled this problem, using methods as varied as syntactic description, projection profiles, template matching. Fourier transforms, and hierarchical processing: handwritten Chinese Character Recognition. This is a somewhat more difficult problem. The approaches tried include a stroke generation technique and a statistical Markov chain analysis; on-line Recognition—Several investigators have reported on work in on-line Chinese character recognition. Input for on-line recognition is dynamic, using a suitable device such as a tablet. Because the strokes are isolated in time and their sequence known, this is a substantially easier recognition task: on-line Analysis—Less ambitious than on-line recognition is the on-line analysis of Chinese characters falling short of recognition. Several useful applications have been reported, including CAI and dictionary-lookup. The paper is intended as a companion to a paper (6) on formal models of the structure of Chinese characters and their application in computerized systems.