Abstract
In view of the characteristics of card information, a new post-process method for business card recognition based on fuzzy reasoning is proposed to solve the low rate of card recognition with the OCR method. The card information is analyzed according to OCR recognition results and candidate results. The typeset page is analyzed by image-syncopated parameters provided by the OCR system. In the above process, the fuzzy reasoning method is applied to the typeset analysis. Furthermore, a new type of intersection operator is designed which is used in fuzzy reasoning. Then the final results are obtained by fusing the above information. The experimental results demonstrate that this method is effective in improving the accuracy rate of OCR recognition and classification of business cards, including the post-process results when compared with other methods.
| Original language | English |
|---|---|
| Pages (from-to) | 15-18+129 |
| Journal | Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology |
| Volume | 38 |
| Issue number | 1 |
| State | Published - Jan 2006 |
| Externally published | Yes |
Keywords
- Classification
- Fuzzy reasoning
- Optical character recognition
- Post-process of recognition
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