ICFICE 2019
Current Result Document :
| 한글제목(Korean Title) |
Image-based Meter Digit Recognition |
| 영문제목(English Title) |
Image-based Meter Digit Recognition |
| 저자(Author) |
Min-Seop Kim
Haechul Choi
|
| 원문수록처(Citation) |
VOL 11 NO. 01 PP. 0398 ~ 0399 (2019. 06) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
This paper presents a digit recognition method of analog meters that measure water, gas and electricity consumption. Digit appearance in images can be significantly affected by factors such as camera parameters and illumination changes, which make it difficult to recognize digits. The proposed method performs the following procedure; digit region extraction using histogram distribution, gradation correction of image, binarization with adaptive thresholding, non-digit region rejection, and optical character recognition. Experimental results show that the proposed method yields a low 3.5% recognition error rate.
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| 키워드(Keyword) |
Adaptive binarization
Least mean square
Meter digit recognition
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| 파일첨부 |
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