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» Using Random Forests for Handwritten Digit Recognition
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ICPR
2004
IEEE
15 years 10 months ago
Principal Component Analysis for Online Handwritten Character Recognition
In this paper, Principal Component Analysis (PCA) is applied to the problem of Online Handwritten Character Recognition in the Tamil script. The input is a temporally ordered sequ...
A. G. Ramakrishnan, Sriganesh Madhvanath, V. Deepu
ICDAR
2003
IEEE
15 years 3 months ago
Writer Identification using Innovative Binarised Features of Handwritten Numerals
The objective of this paper is to present a number of features that can be extracted from handwritten digits and used for author verification or identification of a person’s han...
Graham Leedham, Sumit Chachra
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...
ICPR
2008
IEEE
15 years 4 months ago
A feature selection algorithm for handwritten character recognition
We present a Genetic Algorithm based feature selection approach according to which feature subsets are represented by individuals of an evolving population. Evolution is controlle...
Luigi P. Cordella, Claudio De Stefano, Francesco F...
ICDAR
2011
IEEE
13 years 9 months ago
HAMEX - A Handwritten and Audio Dataset of Mathematical Expressions
—In this paper, we present HAMEX, a new public dataset that contains mathematical expressions available in their on-line handwritten form and in their audio spoken form. We have ...
Solen Quiniou, Harold Mouchère, Sebasti&aac...