Title :
Research on Image Recognition Algorithm for a New Type of Intelligent Ammeter System
Author :
Xiaoyuan Wang ; Huichang Luo
Author_Institution :
Hefei Univ. Teaching & Exp. Center, Hefei, China
Abstract :
In order to solving the problem of the image skew, partial character and decimal fraction calculation that effect the computation accuracy and speed. This article put forward a new algorithm including meter digital image preprocessing and digital identification. Preprocessing algorithm is based on texture feature to position roughly at first, then using the morphological method to position it accurately, in the end, using Hough transform and Wavelet analysis to correct image and remove the interference and separate the single digital from the complex background. In the Digital identification, it uses the different algorithms to the whole and the partial digital image. The whole digital image uses the Wavelet analysis and another uses the digital recognition algorithm which is based on pixel and scale. To verify the algorithm by the 800 meter image, the veracious rate is 99.6% for single digit recognition, the veracious rate is 98.1% for whole meter image recognition, and the speed is double faster more than using traditional algorithm. The results show that the algorithm has great practical value.
Keywords :
Hough transforms; ammeters; character recognition; digital instrumentation; feature extraction; image texture; mathematical morphology; object recognition; smart meters; wavelet transforms; Hough transform; computation accuracy; decimal fraction calculation; digit recognition; digital identification; digital image preprocessing; digital meter image recognition algorithm; image correction; image skew problem; image texture feature; intelligent ammeter system; morphological method; partial character problem; partial digital image; wavelet analysis; Automation; Manufacturing; Image recognition; Partial digital recognition; The digital divide; The digital recognition; wavelet analysis Wavelet analysis;
Conference_Titel :
Digital Manufacturing and Automation (ICDMA), 2013 Fourth International Conference on
Conference_Location :
Qingdao
DOI :
10.1109/ICDMA.2013.250