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Research on the Recognition Technology of Two-Dimensional Character Barcode

Author: HeZhenFen
Tutor: LiuZhi
School: Zhejiang University of Technology
Course: Computer System Architecture
Keywords: 2D character barcode 2D_OTSU circularity feature extraction SVM
CLC: TP391.41
Type: Master's thesis
Year: 2012
Downloads: 14
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Abstract


A recognition technology for2D character barcode is studied in this paper.2D character barcode consisted of English letters is different from the traditional graphic2D barcode in character structures, so the recognition processes between them are different.Firstly, the recognition methods of traditional graphic2D barcode are analyzed and studied; then the recognition method for processing2D character barcode is presented combining with its features. The contents of this paper are shown as below:1. On the preprocessing method of barcode image, the existing researches which are based on global and local threshold algorithm have achieved good results, but there is still no good solution for selecting gray-scale range of global and local threshold algorithm. In this paper,2D OTSU algorithm based on integral image technology is used to segment the barcode image twice and the two gray-scale thresholds are obtained. Using these two thresholds,2D character barcode image can be divided into the target region, the background region and the transition region more accurately. The target region and background region are processed by global threshold algorithm; the transition region is processed by local threshold algorithm. Experimental results obtained in comparison to the previous methods show the advantage of this method.2. On the method of filtering stripe noise, the frequency filter is used to process the stripe noise based on its distribution features in the frequency domain; then the barcode image without stripe noise is obtained from the inverse transform of the frequency domain image.3. On the extracting process of barcode region, an improved circularity calculation is used to detect barcode region based on the geometric features of the locator of2D character barcode image. On the basis of analyzing the encoded specification of2D character barcode, an improved projection segmentation method is proposed to split the character region.4. On the character feature extraction,8capital letters which have the most characteristic differences in the26capital letters are selected as the symbol characters. In this paper, the character feature extraction is implemented using feature fusion method, which is based on the analysis of the character strokes feature as well as its local and global features. In the character recognition algorithm, support vector machine (SVM) is used to train the data sample, and the training model obtained is used to classify the input characters.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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