Name
Abstract | ||
|---|---|---|
Bank check processing is an important application of document analysis as checks are one of the most widespread documents. In this paper we propose an efficient and effective top-down Arabic check analysis and zone extraction technique for courtesy amount, legal amount, and the date fields. Our technique uses available information and performs adaptive local processing using projections and connected component analysis. We tested our technique on real Arabic check images of CENPARMI Arabic check database. The result outperforms previous published results of zone extraction on this dataset. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-31295-3_17 | ICIAR |
Keywords | Field | DocType |
connected component analysis,document analysis,arabic check analysis,real arabic check image,arabic bank check analysis,courtesy amount,adaptive local processing,zone extraction technique,legal amount,bank check processing,cenparmi arabic check database | Data mining,Document analysis,Arabic,Information retrieval,Pattern recognition,Cashier's check,Computer science,Courtesy,Document processing,Artificial intelligence,Connected-component labeling | Conference |
Volume | ISSN | Citations |
7324 | 0302-9743 | 4 |
PageRank | References | Authors |
0.47 | 12 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Irfan Ahmad | 1 | 123 | 10.13 |
| Sabri A. Mahmoud | 2 | 443 | 33.96 |