Browse > Article
http://dx.doi.org/10.12673/jant.2016.20.5.496

A GUI-based the Recognition System for Measured Values of Digital Instrument in the Industrial Site  

Jeon, Min-sik (Department of Electronic Engineering, Changwon National University)
Ko, Bong-jin (Department of Electronic Engineering, Changwon National University)
Abstract
In this paper, we proposed and implemented a GUI-based system to recognize and record measured values of digital instruments in the industrial site through image processing. Unlike the existing vehicle license plate recognition system, the measured values of the measuring instrument are displayed on the LCD screen as digital numbers. So, the proposed system considers the decimal point, a negative sign, light reflected by LCD protective glass, and various disturbance factors. We used blob-labeling technique to recognize the numbers displayed on the LCD screen, the recognized number images were determined as certain numbers through the template matching, and recognized values were recorded in the storage device with measurement time. Therefore, the proposed system in this paper would reduce the burden of writing when recording the measured values of the inside/outside diameter or height of the product in the industrial site, so effective and errorless process management in production process is possible by preventing errors in recording measurements when written by hand.
Keywords
Image processing; Digital number; Number recognition; GUI; Blob-labeling; Template matching;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 D. G. Kim, OpenCV Computer Vision Programming: Motion Detection / Tracking & Camera Calibration, 3rd ed. Seoul, Korea: Kame Pub., 2014.
2 D. H. Lim, Image processing using OpenCV, 7th ed. Paju, Korea: Free Academy Pub., 2014.
3 H. W. Kang, "License plate recognition for speed and red light enforcement system based on character circumscribed quadrilateral," The Journal of Korea Institute of Information Technology, Vol. 9, No. 3, pp. 67-76, Mar. 2011.
4 G. H. Kim, K. S. Chong, and J. H. Youn, "Automatic recognition of direction information in road sign image using OpenCV," Korean Journal of Geomatics, Vol. 31, No. 4, pp. 293-300, 2013.   DOI
5 P. Kwan, K. Kameyama, and K. Toraichi, "Connecting image similarity retrieval with consistent labeling problem by introducing a match-all label," IEEE International Conference on Fuzzy Systems Proceedings, Vol. 3, No. 3, pp. 1384-1387, 2001.
6 B. Froba and C. Kublbeck, "Orientation template matching for Face Localization in Complex Visual Scenes," in International Conference on Image Processing, Vancouver: Canada, Vol.2, pp. 251-254, 2000.
7 N. Otsu, "A threshold selection method from gray-level histograms," IEEE Trans. on System Man Cybernetic, Vol. 9, No. 1, pp. 62-66, 1979.   DOI