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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yiu-Man Tham Tong Lee |
| Copyright Year | 1994 |
| Description | Author affiliation: Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Shatin, Hong Kong (Yiu-Man Tham; Tong Lee) |
| Abstract | One of the important step in handwritten Chinese character recognition is the pre-classification. In this paper, a simple pre-classification scheme based on four corner coding is proposed. Four corner code utilizes the information abundant area in Chinese character which is located on the peripheral. Multiple four corner codes are generated to cater for writing variations. Moreover, in case of mis-classification, a feedback model is established to increase the pre-classification rate. The idea of the feedback model is to identify the corner code stroke which is the highest probable to be mis-identified. The recognition system then re-generates another set of four corner codes. Experimental results revealed that a 92% pre-classification rate can be attained.<> |
| Starting Page | 213 |
| Ending Page | 216 |
| File Size | 264223 |
| Page Count | 4 |
| File Format | |
| ISBN | 078031865X |
| DOI | 10.1109/SIPNN.1994.344929 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1994-04-13 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Handwriting recognition Office automation Dictionaries Shape Feedback Noise reduction Writing Feature extraction Character recognition Data mining |
| Content Type | Text |
| Resource Type | Article |
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