|Table of Contents|

Area Location and Recognition of Video Text Based on Depth Learning Method(PDF)

《哈尔滨理工大学学报》[ISSN:1007-2683/CN:23-1404/N]

Issue:
2016年06期
Page:
61-66
Research Field:
测控技术与通信工程
Publishing date:

Info

Title:
Area Location and Recognition of Video Text Based on Depth Learning Method
Author(s):
LIU Ming-zhu1ZHENG Yun-fei1FAN Jin-fei1YU Fang2
    ( 1. School of Measure-control Technology and Communications Engineering, Harbin University of Science and Technology, Harbin 150080, China ;  2. Dehui Education Technology Service Center of Jilin Province, Dehui 130300, China)
Keywords:
depth learning algorithm video image text area location morphological denoising character recognition 
PACS:
TP391.43
DOI:
10.15938/j.jhust.2016.06.012
Abstract:
It is advantageous to improve the efficiency and accuracy of video information processing through fast and accurate text area location and recognition of video images.The Gabor filter has been used to extract the texture features of video images in the four directions of horizontal,vertical,left-failing and right-falling.Then,by RBM layer increment depth learning algorithm,a depth belief network has been structured,and at the same time,the text region location for the texture feature images has been realized.The paper also studied the feasibility and recognition effect about using morphological process and OCR character database to realize the video image text recognition.The test results showed that the proposed optimized depth learning algorithm combining with morphology character recognition method can not only realize the accurate location of the text region for video images,but also improve the efficiency and accuracy of the character recognition.

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Last Update: 2017-02-28