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Hand Written English Character Recognition using Pattern Sampling Recognition Technique (PSRT)

Rakesh Kumar Mandal1

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-10 , Page no. 58-61, Oct-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i10.5861

Online published on Oct 31, 2018

Copyright © Rakesh Kumar Mandal . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Rakesh Kumar Mandal, “Hand Written English Character Recognition using Pattern Sampling Recognition Technique (PSRT),” International Journal of Computer Sciences and Engineering, Vol.6, Issue.10, pp.58-61, 2018.

MLA Style Citation: Rakesh Kumar Mandal "Hand Written English Character Recognition using Pattern Sampling Recognition Technique (PSRT)." International Journal of Computer Sciences and Engineering 6.10 (2018): 58-61.

APA Style Citation: Rakesh Kumar Mandal, (2018). Hand Written English Character Recognition using Pattern Sampling Recognition Technique (PSRT). International Journal of Computer Sciences and Engineering, 6(10), 58-61.

BibTex Style Citation:
@article{Mandal_2018,
author = {Rakesh Kumar Mandal},
title = {Hand Written English Character Recognition using Pattern Sampling Recognition Technique (PSRT)},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {10 2018},
volume = {6},
Issue = {10},
month = {10},
year = {2018},
issn = {2347-2693},
pages = {58-61},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2981},
doi = {https://doi.org/10.26438/ijcse/v6i10.5861}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i10.5861}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2981
TI - Hand Written English Character Recognition using Pattern Sampling Recognition Technique (PSRT)
T2 - International Journal of Computer Sciences and Engineering
AU - Rakesh Kumar Mandal
PY - 2018
DA - 2018/10/31
PB - IJCSE, Indore, INDIA
SP - 58-61
IS - 10
VL - 6
SN - 2347-2693
ER -

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Abstract

This is the era of intelligent computing devices. Efforts are going on in all over the world to develop machines and programs which can solve the problems that human beings can solve with ease. One such field is recognition of handwritten characters by computers. In this paper the neural network is first trained using perceptron-learning algorithm. The target pattern is a collection of distinct patterns set for each character. While testing the target pattern is sampled and the distortion in the sampled pattern was compared with the original one. 30% or less of such distortion was considered for the identification of a particular character. The results showed that such methods produce accuracies of at least 90% and more for the hand written upper case English alphabets.

Key-Words / Index Term

Character recognition, Sampling, Perceptron, Learning Algorithm, Neural Network

References

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