Performance comparison of several feature selection methods based on node pruning in handwritten character recognition

Proceedings of the Fourth International Conference on Document Analysis and Recognition ◽

10.1109/icdar.1997.619805 ◽

2002 ◽

Author(s):

Kyusik Chung ◽

Jongmin Yoon

Keyword(s):

Feature Selection ◽

Character Recognition ◽

Performance Comparison ◽

Selection Methods ◽

Handwritten Character Recognition ◽

Handwritten Character

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Performance Comparison of Several Feature Selection Techniques for Offline Handwritten Character Recognition

2018 International Conference on Research in Intelligent and Computing in Engineering (RICE) ◽

10.1109/rice.2018.8509076 ◽

2018 ◽

Author(s):

Munish Kumar ◽

M. K. Jindal ◽

R. K. Sharma ◽

Simpel RaniJindal

Keyword(s):

Feature Selection ◽

Character Recognition ◽

Performance Comparison ◽

Handwritten Character Recognition ◽

Handwritten Character ◽

Feature Selection Techniques

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A GA-based feature selection approach with an application to handwritten character recognition

Pattern Recognition Letters ◽

10.1016/j.patrec.2013.01.026 ◽

2014 ◽

Vol 35 ◽

pp. 130-141 ◽

Author(s):

C. De Stefano ◽

F. Fontanella ◽

C. Marrocco ◽

A. Scotto di Freca

Keyword(s):

Feature Selection ◽

Character Recognition ◽

Handwritten Character Recognition ◽

Handwritten Character ◽

Selection Approach ◽

Feature Selection Approach

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Handwritten Character Recognition Using Unsupervised Feature Selection and Multi Support Vector Machine Classifier

International Journal of Intelligent Engineering and Systems ◽

10.22266/ijies2021.1231.26 ◽

2021 ◽

Vol 14 (6) ◽

pp. 290-300

Keyword(s):

Support Vector Machine ◽

Feature Selection ◽

Character Recognition ◽

Support Vector Machine Classifier ◽

Support Vector ◽

Handwritten Character Recognition ◽

Unsupervised Feature Selection ◽

Handwritten Character

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A ranking-based feature selection approach for handwritten character recognition

Pattern Recognition Letters ◽

10.1016/j.patrec.2018.04.007 ◽

2019 ◽

Vol 121 ◽

pp. 77-86 ◽

Author(s):

Nicole Dalia Cilia ◽

Claudio De Stefano ◽

Francesco Fontanella ◽

Alessandra Scotto di Freca

Keyword(s):

Feature Selection ◽

Character Recognition ◽

Handwritten Character Recognition ◽

Handwritten Character ◽

Selection Approach ◽

Feature Selection Approach

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A Review on Feature Extraction and Feature Selection for Handwritten Character Recognition

International Journal of Advanced Computer Science and Applications ◽

10.14569/ijacsa.2015.060230 ◽

2015 ◽

Vol 6 (2) ◽

Author(s):

Muhammad ‘Arif ◽

Haswadi Hassan ◽

Dewi Nasien ◽

Habibollah Haron

Keyword(s):

Feature Extraction ◽

Feature Selection ◽

Character Recognition ◽

Handwritten Character Recognition ◽

Handwritten Character ◽

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A feature selection algorithm for handwritten character recognition

2008 19th International Conference on Pattern Recognition ◽

10.1109/icpr.2008.4761834 ◽

2008 ◽

Author(s):

L. Cordella ◽

C. De Stefano ◽

F. Fontanella ◽

C. Marrocco

Keyword(s):

Feature Selection ◽

Character Recognition ◽

Selection Algorithm ◽

Feature Selection Algorithm ◽

Handwritten Character Recognition ◽

Handwritten Character

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An application of feature selection to handwritten character recognition

Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol.II. Conference B: Pattern Recognition Methodology and Systems ◽

10.1109/icpr.1992.201835 ◽

2003 ◽

Author(s):

S. Yokozuka ◽

H. Kida

Keyword(s):

Feature Selection ◽

Character Recognition ◽

Handwritten Character Recognition ◽

Handwritten Character

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Improving Handwritten Character Recognition by Using a Ranking-Based Feature Selection Approach

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-030-13469-3_104 ◽

2019 ◽

pp. 902-910

Author(s):

N. D. Cilia ◽

C. De Stefano ◽

F. Fontanella ◽

A. Scotto di Freca

Keyword(s):

Feature Selection ◽

Character Recognition ◽

Handwritten Character Recognition ◽

Handwritten Character ◽

Selection Approach ◽

Feature Selection Approach

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Handwritten Character Recognition Using Unsupervised Feature Selection and Multi Support Vector Machine Classifier

International Journal of Intelligent Engineering and Systems ◽

10.22266/ijies2021.1231.27 ◽

2021 ◽

Vol 14 (6) ◽

pp. 301-310

Keyword(s):

Support Vector Machine ◽

Feature Selection ◽

Character Recognition ◽

Support Vector Machine Classifier ◽

Support Vector ◽

Handwritten Character Recognition ◽

Unsupervised Feature Selection ◽

Handwritten Character

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Self-training Method using First strokes in Handwritten Character Recognition

International Journal of Scientific Research ◽

10.15373/22778179/may2014/25 ◽

2012 ◽

Vol 3 (5) ◽

pp. 73-77

Author(s):

Magesh Kasthuri ◽

◽

Dr.V.Shanthi Dr.V.Shanthi

Keyword(s):

Character Recognition ◽

Training Method ◽

Handwritten Character Recognition ◽

Handwritten Character

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