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A Binarization Feature Extraction Approach to OCR: MLP vs. RBF.

, , and . ICDCIT, volume 8337 of Lecture Notes in Computer Science, page 341-346. Springer, (2014)

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A New Character Segmentation Approach for Off-Line Cursive Handwritten Words., , and . ITQM, volume 17 of Procedia Computer Science, page 88-95. Elsevier, (2013)A Neural Approach to Cursive Handwritten Character Recognition Using Features Extracted from Binarization Technique., , and . Complex System Modelling and Control Through Intelligent Soft Computations, volume 319 of Studies in Fuzziness and Soft Computing, Springer, (2015)Performance evaluation of MLP and RBF feed forward neural network for the recognition of off-line handwritten characters., , , , , and . ICDIP, volume 7546 of SPIE Proceedings, page 754633. SPIE, (2010)Modified COVID-19 Indian and international dataset for automatic prediction of risk in an individual using machine learning models using a mobile APP., , and . Int. J. Intell. Eng. Informatics, 9 (2): 142-160 (2021)Improved Handwritten Digit Recognition Using Convolutional Neural Networks (CNN)., , , , and . Sensors, 20 (12): 3344 (2020)A New Approach to Detect and Extract Characters from Off-Line Printed Images and Text., , and . ITQM, volume 17 of Procedia Computer Science, page 434-440. Elsevier, (2013)A Binarization Feature Extraction Approach to OCR: MLP vs. RBF., , and . ICDCIT, volume 8337 of Lecture Notes in Computer Science, page 341-346. Springer, (2014)Off-line Handwritten Numeral Recognition using Hybrid Feature Set - A Comparative Analysis., and . ITQM, volume 122 of Procedia Computer Science, page 1092-1099. Elsevier, (2017)