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Power Meter Based On Digital Image Processing Image Recognition Technology And Implementation

Posted on:2013-02-01Degree:MasterType:Thesis
Country:ChinaCandidate:J YangFull Text:PDF
GTID:2218330371959664Subject:Communication and Information System
Abstract/Summary:PDF Full Text Request
With the development of science and technology and national economy, digital image processing and pattern recognition has become an indispensable instrument in scientific research and production. And the electric meter automatic recognition system is one of its applications in life. In order to get the imformation of the electric meter automaticly, a recognition system, based on image processing technique and image recognition technique, is desided, which consists of 3 steps:image preprocessing; locating and binarization of the target area; image recognition.During image preprocessing, in order to reduce the influence of the electric meter outer border on recognition, a method based on the distribution of image gray is used. Then Median filtering is applied to reduce interference of noise on edge detection, and Sobel edge detection operator is adopted to detect the level edge of the image. After that a method based on Hough transform is used to rectify them. It obtains high detection accuracy and speed.According to the characteristics of the barcode, a scanning line method is selected to find the region which meets the characteristics of the bar code. And a method combining edge detection and projection is used to achieve the location of the number area. In order to separate the target from background effectively, an improved adaptive threshold selection based on the local extreme binary (LEVBB) method is proposed. Furthermore, a general barcode binarization arithmetic based on the characteristics of the bar code is developed, which laid a foundation for further study of image recognition.In the image recognition, according to a priori knowledge of the numbers, an improved methods of projection is used for single character segmentation, and then configuration characteristic algorithm is proposed to recognize the character. Finally this paper analyses the encoding rule of code 128, and Introduces some bar code recognition methods.Experiments show that, this method achieves satisfactory results and have certain feasibility.
Keywords/Search Tags:Image Preprocessing, Barcode Location, Number Area Location, Binarization, Character Recognition, Code 128
PDF Full Text Request
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