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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bin Yu Jain, A.K. |
| Copyright Year | 1996 |
| Description | Author affiliation: Dept. of Comput. Sci., Michigan State Univ., East Lansing, MI, USA (Bin Yu) |
| Abstract | This paper describes a system for form dropout when the filled-in characters or symbols are either touching or crossing the form frames and the form model is unknown. Since some of the character strokes are either touching or crossing the form frames, we need to address the following three issues: (i) localization of form frames; (ii) separation between characters and form frames, and (ii) reconstruction of broken strokes introduced during separation. The form frame is automatically located by finding long straight lines based on a data structure, called block adjacency graph. Form frame removal and character reconstruction are implemented in this graph. When the same process is applied to a blank form, followed by the procedure of connected component extraction and clustering, a form structure-based template is automatically generated which includes form model, skew angle and preprinted data areas. Given the form template, our system can extract both handwritten and machine-typed filled-in data. Experimental results on three different types of forms demonstrate the performance of our system. |
| Starting Page | 701 |
| Ending Page | 705 |
| File Size | 531692 |
| Page Count | 5 |
| File Format | |
| ISBN | 081867282X |
| ISSN | 10514651 |
| DOI | 10.1109/ICPR.1996.547036 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1996-08-25 |
| Publisher Place | Austria |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Data mining Ink Image segmentation Computer science Data structures Government Graphics Costs Text analysis Machine intelligence |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition |
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