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

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