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

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. Above all,...

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Bibliographic Details
Main Authors: Ghulam Jillani Ansari, Jamal Hussain Shah, Mylene C. Q. Farias, Muhammad Sharif, Nauman Qadeer, Habib Ullah Khan
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Genetic algorithm
natural scene text
optimal feature selection
SFS
feature fusion
feature space dimensionality reduction
Online Access:https://ieeexplore.ieee.org/document/9395435/

Internet

https://ieeexplore.ieee.org/document/9395435/

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