Abstract
This paper presents a wavelet-based approach to edge detection in document processing. According to local analysis of the document images using wavelet theory, a novel method is developed to detect the edges in document processing, including extraction of the contours of characters and excerpt of the reference lines in the form document images with gray-levels. In this method, the quadratic spline wavelet is utilized. Experiments have been contacted in this study. The positive results show the effectiveness of the applications of quadratic spline wavelet to edge detection, especially, to extract the reference lines and image boundaries in document processing.
Original language | English |
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Pages | 693-696 |
Number of pages | 4 |
Publication status | Published - 1997 |
Event | Proceedings of the 1997 4th International Conference on Document Analysis and Recognition, ICDAR. Part 2 (of 2) - Ulm, Ger Duration: 18 Aug 1997 → 20 Aug 1997 |
Conference
Conference | Proceedings of the 1997 4th International Conference on Document Analysis and Recognition, ICDAR. Part 2 (of 2) |
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City | Ulm, Ger |
Period | 18/08/97 → 20/08/97 |
Scopus Subject Areas
- Computer Vision and Pattern Recognition