JOURNAL ARTICLE

An Optical Character Recognition Method using a Smartphone Gyro Sensor for Visually Impaired Persons

Soon-kak KwonHeung-Jun Kim

Year: 2016 Journal:   Journal of the Korea Industrial Information Systems Research Vol: 21 (4)Pages: 13-20

Abstract

현대 사회에서 스마트폰은 장착된 고화질의 카메라를 이용하여 광학문자인식시스템을 구현할 수 있다. 광학문자시스템으로부터 인식된 문자들은 또한 TTS를 이용하여 시각장애인들에게 음성 서비스를 제공할 수 있다. 문자 정보가 들어있는 객체에 대하여 스마트 폰 카메라를 사용하여 촬영하는 것도 시각장애인들에게는 다소 어려운 일이다. 왜냐하면 피사체의 촬영 이미지를 볼 수가 없기 때문이다. 이러한 문제점을 해결하기 위하여 본 논문에서는 스마트폰의 자이로 센서를 사용하여 시각장애인들의 올바른 촬영을 유도하는 방법을 제안한다. 구현된 프로그램을 사용하여 모의 실험한 결과, 제안된 방법은 같은 객체로부터 보다 많은 문자를 인식하는 것을 확인할 수 있었다. It is possible to implement an optical character recognition system using a high-resolution camera mounted on smart phones in the modern society. Further, characters extracted from the implemented application is possible to provide the voice service for the visually impaired person by using TTS. But, it is difficult for the visually impaired person to properly shoot the objects that character information are included, because it is very hard to accurately understand the current state of the object. In this paper, we propose a method of inducing an appropriate shooting for the visually impaired persons by using a smartphone gyro sensor. As a result of simulation using the implemented program, we were able to see that it is possible to recognize the more character from the same object using the proposed method.

Keywords:
Visually impaired Character (mathematics) Computer vision Computer science Artificial intelligence Object (grammar) Low resolution Human–computer interaction High resolution Mathematics

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Topics

Innovation in Digital Healthcare Systems
Health Sciences →  Health Professions →  Health Information Management
Education and Learning Interventions
Physical Sciences →  Computer Science →  Information Systems
Internet of Things and Social Network Interactions
Physical Sciences →  Computer Science →  Computer Networks and Communications

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