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MVA
1990
101views Computer Vision» more  MVA 1990»
13 years 9 months ago
A Segmentation Free Approach to Symbol Extraction and Recognition from Image Document
: We present a symbol recognition method without segmentation of the document. Our approach uses Zernike moments for the coding and a multilayered Perceptron for the classifier. Re...
Maurice Milgram, Mattieu Jobert, Bertrand Lamy
ICDAR
2009
IEEE
13 years 6 months ago
Clutter Noise Removal in Binary Document Images
The paper presents a clutter detection and removal algorithm for complex document images. The distance transform based approach is independent of clutter's position, size, sh...
Mudit Agrawal, David S. Doermann
ICDAR
2009
IEEE
13 years 6 months ago
Restoration and Segmentation of Highly Degraded Characters Using a Shape-Independent Level Set Approach and Multi-level Classifi
Segmentation of ancient documents is challenging. In the worst cases, text characters become fragmented as the results of strong degradation processes. New active contour methods ...
Reza Farrahi Moghaddam, David Rivest-Hénaul...
ICDAR
2009
IEEE
14 years 3 months ago
Finding Images and Line-Drawings in Document-Scanning Systems
The system presented in this paper finds images and line-drawings in scanned pages; it is a crucial processing step in the creation of a large-scale system to detect and index ima...
Shumeet Baluja, Michele Covell
ICIP
2003
IEEE
14 years 10 months ago
An entropy based segmentation algorithm for computer-generated document images
This paper presents an efficient compression-oriented segmentation algorithm for computer-generated document images. In this algorithm, a document image is represented in a block-...
Lijie Liu, Yan Dong, Xiaomu Song, Guoliang Fan