| Autor: |
Gaceb, Djamel, Eglin, Véronique, Lebourgeois, Frank, Emptoz, Hubert |
| Zdroj: |
International Journal on Document Analysis and Recognition; 20240101, Issue: Preprints p1-14, 14p |
| Abstrakt: |
Abstract: An efficient mail sorting system is mainly based on an accurate optical recognition of the addresses on the envelopes. However, the localizing of the address block (ABL) should be done before the OCR recognition process. The location step is very crucial as it has a great impact on the global performance of the system. Consequently a good localizing step leads to a better recognition rate. The limits of current methods are mainly caused by modular linear architectures used for ABL and the lack of cooperation between modules: their performances greatly depend on each independent module performance. We are presenting in this paper a new approach for ABL based on a pyramidal data organization and on a hierarchical graph coloring for classification process. This new approach presents the advantage to guarantee a good coherence between different modules and it also reduces both the computation time and the rejection rate. The proposed method gives a very satisfying rate of 98% of good locations on a set of 750 envelope images. |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
|
Full text from SpringerLink