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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yaw-Huei Chiou Hsi-Jian Lee |
| Copyright Year | 1997 |
| Description | Author affiliation: Dept. of Comput. Sci. & Inf. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan (Yaw-Huei Chiou) |
| Abstract | Business cards include many kinds of information, such as names, addresses and telephone numbers. In order to use the information effectively, it is necessary to extract the information from the cards automatically in order to build a database. The goal of this paper is to extract and recognize characters from color business cards. To separate the foreground from the background in a card, we assign all pixels to eight color types. Then we calculate a dynamic threshold using the color information to extract the foreground. Next, we extract the characters by four steps: (i) connected component extraction, (ii) local thresholding, (iii) mark, line and noise deletion, and (iv) character grouping. Finally, we recognize the characters by a statistical Chinese and English character recognition system. We test 30 business cards which have Chinese characters, English characters, numerals and punctuation marks. The extraction rate and accuracy for our system are 96.97% and 95.43% respectively. The recognition rate is 88.78% for Chinese characters and 97.58% for English characters, numerals and punctuation marks. |
| Starting Page | 1028 |
| Ending Page | 1032 |
| File Size | 575414 |
| Page Count | 5 |
| File Format | |
| ISBN | 0818678984 |
| DOI | 10.1109/ICDAR.1997.620665 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1997-08-18 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Data mining Character recognition Colored noise Text analysis Neural networks Color Computer science Telephony System testing Databases |
| Content Type | Text |
| Resource Type | Article |
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