The week's pick
Reseach Article
Machine Learning Classification Algorithms to Recognize Chart Types in Portable Document Format (PDF) Files
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 39 - Number 2 |
| Year of Publication: 2012 |
| Authors: V. Karthikeyani, S. Nagarajan |
10.5120/4789-6997
|
V. Karthikeyani, S. Nagarajan . Machine Learning Classification Algorithms to Recognize Chart Types in Portable Document Format (PDF) Files. International Journal of Computer Applications. 39, 2 ( February 2012), 1-5. DOI=10.5120/4789-6997
Abstract
Chart recognition system from PDF files is a relatively young research field where techniques and algorithms are proposed to identify type of charts and interpret them. This paper focus on recognition of chart type that is a part of PDF document using texture features and classification algorithm. Eleven types of texture features and three classifiers, namely, Multilayer perceptron, support vector machine and K nearest neighbour, are used. Performance analysis of the proposed chart type recognition systems show that texture features for chart type recognition has promising future and produces best result while using KNN and SVM algorithm.
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