Name
Abstract | ||
|---|---|---|
We present a formal model for processing gray-scale images of business forms such as bank cheques. The formal model is based on a new hybrid-based approach namely the base lines. In fact, to segment handwritten and hand-printed data from bank cheques, knowledge rules and base lines will have important roles to segment and extract the information from bank cheques. The architectural design as well as the major components of the system is discussed in full detail. Moreover, the significant use of the morphological followed by the topological processing on gray-scale images is used as a major aspect to restore the lost information after the elimination of the background and the base lines from the gray-scale cheques. |
Year | DOI | Venue |
|---|---|---|
1995 | 10.1109/ICDAR.1995.598978 | ICDAR-1 |
Keywords | Field | DocType |
document processing,base line,bank cheque,business form,major component,lost information,topological processing,major aspect,architectural design,formal model,gray-scale cheque,gray-scale image,optical character recognition,image restoration,gray scale,image segmentation,mathematical morphology,handwriting recognition,data mining,pixel | Object detection,Computer vision,Pattern recognition,Computer science,Business forms,Document processing,Optical character recognition,Handwriting recognition,Image segmentation,Artificial intelligence,Image restoration,Grayscale | Conference |
ISBN | Citations | PageRank |
0-8186-7128-9 | 11 | 1.96 |
References | Authors | |
1 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohamed Cheriet | 1 | 2047 | 238.58 |
| Joseph N. Said | 2 | 170 | 36.40 |
| Ching Y. Suen | 3 | 7569 | 1127.54 |