【作者】 许晓辉；

【导师】 刘志；

【作者基本信息】 浙江工业大学 ， 计算机软件与理论， 2007， 硕士

【摘要】 本文在研究现有的二维条码识别技术和Symbian操作系统智能终端的特点的基础上,系统的研究了移动端二维条码的识别技术,提出了适合手机端二维条码识别的图像处理的优化算法。本文的主要工作如下:首先调用手机的摄像头拍摄条码,将条码图案显示在Symbian操作系统的智能终端。根据手机拍摄的条码图像存在光照不均匀、污损、扭曲、倾斜的缺点,使用一种适合手机端的新的灰度化处理公式来代替标准的灰度化公式。然后采用快速自适应阈值分割方法对手机条码图片进行二值分割。同时使用顺序区域标记的算法对二值条码图像连通区域进行标记并且提出了3种规则来筛选出正确的条码图案的区域。在初步定出条码图案区域后,根据Data Matrix条码图像的特点,提出使用凸包算法来对条码进行精确的定位。最后提出一种新的条码图案倾斜校正的算法来得到标准的条码图案后使用RS纠错码进行译码。最后本文在Symbian Series60 3^rd平台上完成了移动端二维条码识别系统的开发。实验证明,该系统具有较高的识别率,可以满足在移动端的使用。更多还原

【Abstract】 Based on the existing technology of two dimension barcode identification and the characteristic of Symbian OS, the technology of two-dimension barcode recognition through smart phones and optimizing image process algorithm that can be used in smart phones is researched in this paper. The main content of this paper is as follows:Firstly, built-in camera to gather two-dimension barcode is used and displayed on the smart phones based on symbian os. For the shortcoming of two-dimension photo gathered by smart phone, the photo usually has a problem of deformation, blurry and skew. This paper uses a new method instead of the ITU-standardized formula to gray scale the colored input image. In order to adapt barcode image to various sizes and gray-scaling values, as well as unevenly illuminated. An adaptive thresholding method is developed insteading of global thresholding. After this step, Regions of neighboring black pixels is found, counted and assigned a number to each. To identify candidates for orientation barcodes among the regions found, three rules are used in this paper to choose the correct barcode region and then this paper uses convex hull algorithm to locate barcode accurately. Finally this paper uses a new method to detect skew angle and correct it. At last we develop two-dimension barcode recognition system on smart phones. Experience proves that this system can recognize two-dimension barcode well and is suited to use on smart phones.更多还原