Development of multistage algorithm for text objects recognition in images; Control and Communications (SIBCON)

গ্রন্থ-পঞ্জীর বিবরন
Parent link:Control and Communications (SIBCON).— 2016.— [5 p.]
প্রধান লেখক: Cherneta D. S. Dmitry Sergeevich
সংস্থা লেখক: Томский политехнический университет Институт кибернетики, ИК
অন্যান্য লেখক: Druki A. A. Aleksey Alekseevich, Spitsyn V. G. Vladimir Grigorievich
সংক্ষিপ্ত:Title screen
The relevance of this study is stipulated by the necessity of designing algorithms allowing to improve the efficiency of characters recognition on images with complex backgrounds subjected to noise, affine and projective transformations. Purpose: Development of algorithms and software system allowing to improve the efficiency of characters recognition on images with complex backgrounds subjected to noise, affine and projective transformations. Experimental research to be carried out into the efficiency of developed algorithms and their comparison to their existing analogs. Findings: Viola-Jones object detection algorithm is suggested to detect the area of character location on images with complex background. The image normalization includes the following operations: boundary identification, Hough transformation, search for closed loops, image leveling. The structure of convolutional neural network (CNN) is suggested for characters recognition. The implementation of the developed algorithms is presented by characters recognition on images of vehicle number plates.
Режим доступа: по договору с организацией-держателем ресурса
ভাষা:ইংরেজি
প্রকাশিত: 2016
বিষয়গুলি:
অনলাইন ব্যবহার করুন:http://dx.doi.org/10.1109/SIBCON.2016.7491714
বিন্যাস: বৈদ্যুতিক গ্রন্থের অধ্যায়
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=650493

MARC

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200 1 |a Development of multistage algorithm for text objects recognition in images  |f D. S. Cherneta, A. A. Druki, V. G. Spitsyn 
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300 |a Title screen 
320 |a [References: 13 tit.] 
330 |a The relevance of this study is stipulated by the necessity of designing algorithms allowing to improve the efficiency of characters recognition on images with complex backgrounds subjected to noise, affine and projective transformations. Purpose: Development of algorithms and software system allowing to improve the efficiency of characters recognition on images with complex backgrounds subjected to noise, affine and projective transformations. Experimental research to be carried out into the efficiency of developed algorithms and their comparison to their existing analogs. Findings: Viola-Jones object detection algorithm is suggested to detect the area of character location on images with complex background. The image normalization includes the following operations: boundary identification, Hough transformation, search for closed loops, image leveling. The structure of convolutional neural network (CNN) is suggested for characters recognition. The implementation of the developed algorithms is presented by characters recognition on images of vehicle number plates. 
333 |a Режим доступа: по договору с организацией-держателем ресурса 
463 |t Control and Communications (SIBCON)  |o Proceedings of the XII International Siberian Conference, Moscow, May 12-14, 2016  |v [5 p.]  |d 2016 
610 1 |a электронный ресурс 
610 1 |a труды учёных ТПУ 
610 1 |a распознавание объектов 
610 1 |a обработка изображений 
610 1 |a преобразование 
610 1 |a искусственные нейронные сети 
700 1 |a Cherneta  |b D. S.  |g Dmitry Sergeevich 
701 1 |a Druki  |b A. A.  |c specialist in the field of informatics and computer technology  |c assistant of Tomsk Polytechnic University, engineer  |f 1985-  |g Aleksey Alekseevich  |3 (RuTPU)RU\TPU\pers\34610  |9 17972 
701 1 |a Spitsyn  |b V. G.  |c specialist in the field of informatics and computer technology  |c Professor of Tomsk Polytechnic University, Doctor of technical sciences  |f 1948-  |g Vladimir Grigorievich  |3 (RuTPU)RU\TPU\pers\33492  |9 17160 
712 0 2 |a Томский политехнический университет  |b Институт кибернетики, ИК  |c 2010-2017  |9 27025 
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