Page segmentation and classification
CVGIP: Graphical Models and Image Processing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Adaptive Document Binarization
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Page segmentation and classification utilising a bottom-up approach
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 2) - Volume 2
Block selection: a method for segmenting a page image of various editing styles
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 1) - Volume 1
Line Separation for Complex Document Images Using Fuzzy Runlength
DIAL '04 Proceedings of the First International Workshop on Document Image Analysis for Libraries (DIAL'04)
Locating Destination Address Block in Korean Mail Images
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
Postal Envelope Address Block Location by Fractal-Based Approach
SIBGRAPI '04 Proceedings of the Computer Graphics and Image Processing, XVII Brazilian Symposium
Notes: On approximating the b-chromatic number
Discrete Applied Mathematics
A new clustering approach for symbolic data and its validation: application to the healthcare data
ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems
A distributed algorithm for a b-coloring of a graph
ISPA'06 Proceedings of the 4th international conference on Parallel and Distributed Processing and Applications
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An efficient sorting mail system is mainly based on an accurate optical recognition of the envelopes addresses. However, the location 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. Actually, a good location step leads to a better recognition rate. The limit of current methods depends on modular linear architectures used for ABL. Their performances depend on each independent module performance. We are presenting in this paper a new approach for ABL based on the hierarchical graph coloring and on the pyramidal organization of data that present the advantage to guarantee a good coherence between different modules and that reduces both the computation time and the rejection rate. The proposed method gives very satisfying rate of 98% of good location on a set of 750 envelope images.