• Proddutur Shruthi
• Devaraj Verma C

This paper discusses about the recognition of handwritten characters of Kannada. In particular we concentrate about the hybrid technique which is used in here. This approach uses two algorithms which are genetic and fuzzy logic for recognition. Feature extraction is the estimation of certain attributes of the target patterns. Selection of the right set of features is the most crucial and complex part of building a pattern recognition system. The novelty of this approach is to achieve better accuracy and reduced computational time for recognition of handwritten characters using Genetic Algorithm which optimizes the number of features along with a simple and Fuzzy Logic. We will analyze the performance and accuracy of the system.

Pattern recognition, Genetic algorithm, Fuzzy Logic, Feature Extraction.

"Off-Line Handwritten recognition using fuzzy logic and genetic algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 1, page no.474-479, January-2021, Available :http://www.jetir.org/papers/JETIR2101063.pdf

"Off-Line Handwritten recognition using fuzzy logic and genetic algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 1, page no. pp474-479, January-2021, Available at : http://www.jetir.org/papers/JETIR2101063.pdf