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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Bibliographic Details
Main Author:	N. N. Kuzmitsky
Format:	Article
Language:	Russian
Published:	National Academy of Sciences of Belarus, the United Institute of Informatics Problems 2016-09-01
Series:	Informatika
Online Access:	https://inf.grid.by/jour/article/view/15
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