Abstract
This paper describes a segmentation method called the Fuzzy Segmentation Method (FSM) for the analysis of document images. Based on the use of concepts in fuzzy set theory, we define fuzzy blank and fuzzy black lines and based on these definitions, we, in turn, define fuzzy blank and fuzzy black blocks. An efficient algorithm is proposed here for their identification. The ideas of λ-cut sets are utilized when determining the vertical and horizontal thresholds in the segmentation process. With the definition of fuzzy sets, such a process can be made automated in an adaptive process. When comparing to existing approaches, it is better able to correctly identify blocks in a document image.
| Original language | English |
|---|---|
| Pages (from-to) | 977-982 |
| Number of pages | 6 |
| Journal | Proceedings of the IEEE International Conference on Systems, Man and Cybernetics |
| Volume | 2 |
| Publication status | Published - 1 Dec 1997 |
| Event | Proceedings of the 1997 IEEE International Conference on Systems, Man, and Cybernetics. Part 3 (of 5) - Orlando, FL, United States Duration: 12 Oct 1997 → 15 Oct 1997 |
ASJC Scopus subject areas
- Hardware and Architecture
- Control and Systems Engineering