The development of optical character recognition approach on the basis of joint application of probabilistic neural network and wavelet transform

There are a lot of approaches to solve the problem of optical character recognition. One of them is the approach based on neural networks. The authors have proposed and implemented an approach of analyzing and classification based on wavelet transformation for reducing the feature space and probabil...

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Main Authors: P. A. Khaustov, D. S. Grigoryev, V. G. Spitsyn
Format: Article
Language:Russian
Published: Tomsk Polytechnic University 2019-05-01
Series:Известия Томского политехнического университета: Инжиниринг георесурсов
Subjects:
Online Access:http://izvestiya.tpu.ru/archive/article/view/1195
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author P. A. Khaustov
D. S. Grigoryev
V. G. Spitsyn
author_facet P. A. Khaustov
D. S. Grigoryev
V. G. Spitsyn
author_sort P. A. Khaustov
collection DOAJ
description There are a lot of approaches to solve the problem of optical character recognition. One of them is the approach based on neural networks. The authors have proposed and implemented an approach of analyzing and classification based on wavelet transformation for reducing the feature space and probabilistic neural network for recognition. The main advantage of probabilistic neural network is the probabilistic significance of its output neurons which can be used to improve the quality of recognition. Optimal values of parameters were selected for such approach. The results of numerical experiments were analyzed and the time-performance of this approach was assessed. The set of noisy character images was used to assess the proposed approach. This method showed 98 % of acceptable recognition.
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spelling doaj.art-ac66f43486a84aa6bd88bc87c6bc75702023-06-02T21:07:24ZrusTomsk Polytechnic UniversityИзвестия Томского политехнического университета: Инжиниринг георесурсов2500-10192413-18302019-05-013235The development of optical character recognition approach on the basis of joint application of probabilistic neural network and wavelet transformP. A. KhaustovD. S. GrigoryevV. G. SpitsynThere are a lot of approaches to solve the problem of optical character recognition. One of them is the approach based on neural networks. The authors have proposed and implemented an approach of analyzing and classification based on wavelet transformation for reducing the feature space and probabilistic neural network for recognition. The main advantage of probabilistic neural network is the probabilistic significance of its output neurons which can be used to improve the quality of recognition. Optimal values of parameters were selected for such approach. The results of numerical experiments were analyzed and the time-performance of this approach was assessed. The set of noisy character images was used to assess the proposed approach. This method showed 98 % of acceptable recognition.http://izvestiya.tpu.ru/archive/article/view/1195optical character recognitionprobabilistic neural networkprobabilistic assessmentwavelet transformwavelets
spellingShingle P. A. Khaustov
D. S. Grigoryev
V. G. Spitsyn
The development of optical character recognition approach on the basis of joint application of probabilistic neural network and wavelet transform
Известия Томского политехнического университета: Инжиниринг георесурсов
optical character recognition
probabilistic neural network
probabilistic assessment
wavelet transform
wavelets
title The development of optical character recognition approach on the basis of joint application of probabilistic neural network and wavelet transform
title_full The development of optical character recognition approach on the basis of joint application of probabilistic neural network and wavelet transform
title_fullStr The development of optical character recognition approach on the basis of joint application of probabilistic neural network and wavelet transform
title_full_unstemmed The development of optical character recognition approach on the basis of joint application of probabilistic neural network and wavelet transform
title_short The development of optical character recognition approach on the basis of joint application of probabilistic neural network and wavelet transform
title_sort development of optical character recognition approach on the basis of joint application of probabilistic neural network and wavelet transform
topic optical character recognition
probabilistic neural network
probabilistic assessment
wavelet transform
wavelets
url http://izvestiya.tpu.ru/archive/article/view/1195
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