A Study on Various Techniques Involved in Gender Prediction System: A Comprehensive Review
Author:
Affiliation:
1. School of Computer Science & Engineering , Shri Mata Vaishno Devi University , Kakryal, Katra , Jammu & Kashmir – 182 320 , India
Abstract
Publisher
Walter de Gruyter GmbH
Subject
General Computer Science
Link
https://www.sciendo.com/pdf/10.2478/cait-2019-0015
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3. 3. Kaur, S. Gurmukhi Printed Character Recognition Using Hierarchical Centroid Method and SVM. – International Journal of Computer Applications, Vol. 149, 2016, No 3, pp. 24-27.10.5120/ijca2016911367
4. 4. Sharma, A., S. Khare, S. Chavan. A Review on Handwritten Character Recognition. – IJCST, Vol. 8491, 2017, Issue 1, pp. 71-75.
5. 5. Fakhr, M. W. Arabic Optical Character Recognition (OCR). – Systems Overview, Vol. 2011, January 2011.
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