A Comprehensive Analysis of Various Handwritten Character Recognition Techniques.

Registration ID: IJNRD_213205

Published ID: IJNRD2402019

DOI: Click Here to Get

Pankaj Kumar , Jyoti Kumari

Handwritten character recognition, Image Processing, Neural Network.

In this research, numerous strategies and procedures for neural network-based handwritten character recognition are presented. It includes a variety of methods used on scanned English characters, such as skeletonization, normalization, border detection, and feature extraction. describing the preprocessing, segmentation, and classification phases of the proposed system, it also explores a diagonal-based feature extraction technique for character recognition. Another strategy emphasizes binarization, segmentation, and neural network-based classification for character recognition without a feature extraction stage. The research also explores character recognition parameter adaption using neural networks' backpropagation technique and momentum approach. To detect handwritten English alphabet letters, it offers a hybrid technique that combines feature extraction and machine learning. A neural network approach to character identification is also discussed, along with its advantages and disadvantages when compared to more conventional pattern recognition techniques. The technique for English character recognition using multilayer perceptron networks is presented in the study, along with a discussion of the use of neural networks in handwritten character recognition (HCR) for banking. Overall, this study offers a thorough analysis of alternative neural network-based methods for reading handwritten characters, highlighting their advantages and potential uses in diverse scenarios.

Published Paper   E-Certificate

Pankaj Kumar & Jyoti Kumari (February-2024). A Comprehensive Analysis of Various Handwritten Character Recognition Techniques.. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(2), a135-a142. https://ijnrd.org/papers/IJNRD2402019.pdf

Volume 9 Issue 2, February-2024

Pages : a135-a142

Paper Reg. ID: IJNRD_213205

Published Paper Id: IJNRD2402019

Downloads: 000121980

Research Area: Computer Science & Technology 

Country: West champaran, bihar, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2402019.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2402019

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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