DETECTION OF TEXT OBJECTS IN IMAGES OF REAL SCENES BASED ON CONVOLUTIONAL NEURAL NETWORK MODEL

DETECTION OF TEXT OBJECTS IN IMAGES OF REAL SCENES BASED ON CONVOLUTIONAL NEURAL NETWORK MODEL

A model of text image detector based on a convolutional neural network architecture is presented, capable of synthesizing high-level features of images in the «black box» mode. An implementation of the detector application, based on algorithms of multi-scale scanning and local responses interpretati...

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Main Author: N. N. Kuzmitsky
Format: Article
Language:Russian
Published: The United Institute of Informatics Problems of the National Academy of Sciences of Belarus 2016-09-01
Series:Informatika
Online Access:https://inf.grid.by/jour/article/view/15
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spelling doaj-38fffacfe92b4b4a9735a6baae70fa772021-07-28T21:07:21ZrusThe United Institute of Informatics Problems of the National Academy of Sciences of Belarus Informatika1816-03012016-09-0102122114DETECTION OF TEXT OBJECTS IN IMAGES OF REAL SCENES BASED ON CONVOLUTIONAL NEURAL NETWORK MODELN. N. Kuzmitsky0Брестский государственный технический университетA model of text image detector based on a convolutional neural network architecture is presented, capable of synthesizing high-level features of images in the «black box» mode. An implementation of the detector application, based on algorithms of multi-scale scanning and local responses interpretation is described, allowing to find out text samples on images of real scenes. Advantages in comparison with analogs are shown and efficiency evaluation on an example of a known database is conducted.https://inf.grid.by/jour/article/view/15
collection DOAJ
language Russian
format Article
sources DOAJ
author N. N. Kuzmitsky
spellingShingle N. N. Kuzmitsky
DETECTION OF TEXT OBJECTS IN IMAGES OF REAL SCENES BASED ON CONVOLUTIONAL NEURAL NETWORK MODEL
Informatika
author_facet N. N. Kuzmitsky
author_sort N. N. Kuzmitsky
title DETECTION OF TEXT OBJECTS IN IMAGES OF REAL SCENES BASED ON CONVOLUTIONAL NEURAL NETWORK MODEL
title_short DETECTION OF TEXT OBJECTS IN IMAGES OF REAL SCENES BASED ON CONVOLUTIONAL NEURAL NETWORK MODEL
title_full DETECTION OF TEXT OBJECTS IN IMAGES OF REAL SCENES BASED ON CONVOLUTIONAL NEURAL NETWORK MODEL
title_fullStr DETECTION OF TEXT OBJECTS IN IMAGES OF REAL SCENES BASED ON CONVOLUTIONAL NEURAL NETWORK MODEL
title_full_unstemmed DETECTION OF TEXT OBJECTS IN IMAGES OF REAL SCENES BASED ON CONVOLUTIONAL NEURAL NETWORK MODEL
title_sort detection of text objects in images of real scenes based on convolutional neural network model
publisher The United Institute of Informatics Problems of the National Academy of Sciences of Belarus
series Informatika
issn 1816-0301
publishDate 2016-09-01
description A model of text image detector based on a convolutional neural network architecture is presented, capable of synthesizing high-level features of images in the «black box» mode. An implementation of the detector application, based on algorithms of multi-scale scanning and local responses interpretation is described, allowing to find out text samples on images of real scenes. Advantages in comparison with analogs are shown and efficiency evaluation on an example of a known database is conducted.
url https://inf.grid.by/jour/article/view/15
work_keys_str_mv AT nnkuzmitsky detectionoftextobjectsinimagesofrealscenesbasedonconvolutionalneuralnetworkmodel
_version_ 1721262965972271104

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