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» Handwritten Digits Segmentation Based on Structural Approach
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73
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GBRPR
2005
Springer
15 years 3 months ago
Collaboration Between Statistical and Structural Approaches for Old Handwritten Characters Recognition
Abstract. In this article we try to make different kinds of information cooperate in a characters recognition system addressing old Greek and Egyptians documents. We first use a ...
Denis Arrivault, Noël Richard, Christine Fern...
MVA
2007
203views Computer Vision» more  MVA 2007»
14 years 11 months ago
Automatic Detection of Anatomical Structures in Digital Fundus Retinal Images
This paper proposes a novel system for the automatic detection of important anatomical structures such as the Optic Disc (OD), Blood Vessels and Macula in digital fundus retinal i...
Anantha Vidya Sagar, S. Balasubramanian, V. Chandr...
65
Voted
SAC
2008
ACM
14 years 9 months ago
Using the RRT algorithm to optimize classification systems for handwritten digits and letters
Multi-objective genetic algorithms have been often used to optimize classification systems, but little is discussed on their computational cost to solve such problems. This paper ...
Paulo Vinicius Wolski Radtke, Robert Sabourin, Ton...
ICDAR
2003
IEEE
15 years 2 months ago
Segmentation of Bangla Unconstrained Handwritten Text
To take care of variability involved in the writing style of different individuals in this paper we propose a robust scheme to segment unconstrained handwritten Bangla texts into ...
U. Pal, Sagarika Datta
ICPR
2002
IEEE
15 years 10 months ago
Combining SVM Classifiers for Handwritten Digit Recognition
In this paper, we investigate the advantages and weaknesses of various decision fusion schemes using statistical and rule-based reasoning. The cooperation schemes are applied on t...
Dejan Gorgevik, Dusan Cakmakov