Запис Детальніше

CHARACTER RECOGNITION ALGORITHM ON THE BASE OF COMPETITIVE CELLULAR AUTOMATA

Науковий журнал «Радіоелектроніка, інформатика, управління»

Переглянути архів Інформація
 
 
Поле Співвідношення
 
##plugins.schemas.marc.fields.042.name## dc
 
##plugins.schemas.marc.fields.245.name## CHARACTER RECOGNITION ALGORITHM ON THE BASE OF COMPETITIVE CELLULAR AUTOMATA
 
##plugins.schemas.marc.fields.720.name## Zhikharevich, V. V.; Chernivtsi Yu. Fed’kovych National University, Chernivtsi
Myroniv, I. V.; Chernivtsi Yu. Fed’kovych National University, Chernivtsi
Ostapov, S. E.; Chernivtsi Yu. Fed’kovych National University, Chernivtsi
 
##plugins.schemas.marc.fields.653.name## text recognition, character recognition, cellular automaton, Moore probabilistic automaton.
 
##plugins.schemas.marc.fields.520.name## This paper presents a new method for character recognition that is based on the concept of competing cellular automata. A new type of<br />cellular automata, which move trajectory coincides with the character shape is represents. The advantage of this method is the insensitivity<br />to the character size, lines thickness and proportion of fragments, distortion and partial overlapping symbols except the formation of joint<br />lines. To optimize the recognition efficiency and speed offered the cellular automata competitive process; developed its algorithms and<br />methods of interaction. To implement the proposed algorithms the modeling program was created. This software allowed to evaluate the<br />effectiveness of cellular automata techniques and conduct experiments on English alphabet character recognition. It was demonstrated the<br />successful recognition partly distorted characters and such imposed without forming joint lines. On the basis of these experiments authors<br />concluded the prospects of using the proposed method in handwriting recognition. To create a real system it’s need to develop subsystem of<br />interaction with scanning equipment, text segmentation principles, clearing it from the noise and automatic creation of cellular fields and<br />output the recognition results.
 
##plugins.schemas.marc.fields.260.name## Zaporizhzhya National Technical University
2016-01-25 15:28:44
 
##plugins.schemas.marc.fields.856.name## application/pdf
http://ric.zntu.edu.ua/article/view/60343
 
##plugins.schemas.marc.fields.786.name## Radio Electronics, Computer Science, Control; No 4 (2015): Radio Electronics, Computer Science, Control
 
##plugins.schemas.marc.fields.546.name## uk
 
##plugins.schemas.marc.fields.540.name## Copyright (c) 2016 V. V. Zhikharevich, I. V. Myroniv, S. E. Ostapov