An Optimized Feature Selection Technique in Diversified Natural Scene Text for Classification Using Genetic Algorithm

An Optimized Feature Selection Technique in Diversified Natural Scene Text for Classification Using Genetic Algorithm

<p>Natural scene text classification is considered to be a challenging task because of diversified set of image contents, presence of degradations including noise, low contrast/resolution and the random appearance of foreground (font, style, sizes and orientations) and background properties. A...

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Bibliographic Details
Main Author: Ghulam Jillani Ansari (16896342) (author)
Other Authors: Jamal Hussain Shah (16896345) (author), Mylene C. Q. Farias (16896348) (author), Muhammad Sharif (7039565) (author), Nauman Qadeer (16896351) (author), Habib Ullah Khan (12024579) (author)
Published: 2021
Subjects:
Information and computing sciences
Artificial intelligence
Computer vision and multimedia computation
Machine learning
Feature extraction
Genetic algorithms
Classification algorithms
Support vector machines
Optimization
Text categorization
Sociology
Genetic algorithm
Natural scene text
Optimal feature selection
SFS
Feature fusion
Feature space dimensionality reduction
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