A Description Method of Handprinted Chinese Characters
Imaging Science and Engineering Laboratory, Tokyo Institute of Technology, Midori-ku, Yokohama, Japan.IEEE Transactions on Pattern Analysis and Machine Intelligence (Impact Factor: 5.78). 02/1979; PAMI-1(1):20 - 24. DOI: 10.1109/TPAMI.1979.4766872
Source: IEEE Xplore
A description method of handprinted Chinese characters is presented. In the method, a Chinese character is composed of some partial patterns which are constructed using the concatenate relation, cross relation, and near relation. The relations of relative location among partial patterns are used for categorization of the partial pattems. A Chinese character is expressed from the results of categorization.
- [Show abstract] [Hide abstract]
ABSTRACT: In this paper we propose a coding method of handprinted Chinese characters in which, defining a grammar, the process of block categorization is made to correspond to a process of sentential generation. We obtain two strings of production rules and block codes being equivalent to the descriptions of the structure and internal components of a character pattern, and a Chinese character is encoded effectively by the use of these two strings. It is shown that this coding method is available for the classification and discrimination of handprinted Chinese characters.IEEE Transactions on Pattern Analysis and Machine Intelligence 04/1979; 1(4):333-41. DOI:10.1109/TPAMI.1979.4766941 · 5.78 Impact Factor
- [Show abstract] [Hide abstract]
ABSTRACT: A stroke feature distribution method is used to develop a scheme for the recognition of alphanumeric characters. The algorithm uses a gray-level image of the character as input. The image is normalized. The feature used is stroke length. The stroke feature vector is calculated at each point and averaged over image subdivisions which are equal in area. The results obtained for preclassification and for test sets of data are shown. All the algorithms were implemented in C on a MicroVax II workstation equipped with a high-resolution data translation image processing board.< >System Theory, 1988., Proceedings of the Twentieth Southeastern Symposium on; 04/1988
Article: Character recognition — A review[Show abstract] [Hide abstract]
ABSTRACT: The machine replication of human reading has been the subject of intensive research for more than three decades. A large number of research papers and reports have already been published on this topic. Many commercial establishments have manufactured recognizers of varying capabilities. Handheld, desk-top, medium-size and large systems costing as high as half a million dollars are available, and are in use for various applications. However, the ultimate goal of developing a reading machine having the same reading capabilities of humans still remains unachieved. So, there still is a great gap between human reading and machine reading capabilities, and a great amount of further effort is required to narrow-down this gap, if not bridge it. This review is organized into six major sections covering a general overview (an introduction), applications of character recognition techniques, methodologies in character recognition, research work in character recognition, some practical OCRs and the conclusions.Pattern Recognition 01/1990; 23(7-23):671-683. DOI:10.1016/0031-3203(90)90091-X · 3.10 Impact Factor
Data provided are for informational purposes only. Although carefully collected, accuracy cannot be guaranteed. The impact factor represents a rough estimation of the journal's impact factor and does not reflect the actual current impact factor. Publisher conditions are provided by RoMEO. Differing provisions from the publisher's actual policy or licence agreement may be applicable.