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Locating and Decoding Barcodes in Fuzzy Images Captured by Smart Phones

机译：智能手机拍摄的模糊图像中的条形码定位与解码

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With the development of barcodes for commercial use, people's requirements for detecting barcodes by smart phone become increasingly pressing. The low quality of barcode image captured by mobile phone always affects the decoding and recognition rates. This paper focuses on locating and decoding EAN-13 barcodes in fuzzy images. We present a more accurate locating algorithm based on segment length and high fault-tolerant rate algorithm for decoding barcodes. Unlike existing approaches, location algorithm is based on the edge segment length of EAN-13 barcodes, while our decoding algorithm allows the appearance of fuzzy region in barcode image. Experimental results are performed on damaged, contaminated and scratched digital images, and provide a quite promising result for EAN-13 barcode location and decoding.
机译：随着用于商业用途的条形码的发展，人们对于通过智能电话检测条形码的要求变得越来越紧迫。手机捕获的条形码图像质量低下，始终会影响解码和识别率。本文着重于模糊图像中EAN-13条形码的定位和解码。我们提出了一种基于段长度和高容错率算法的更精确的定位算法，以对条形码进行解码。与现有方法不同，定位算法基于EAN-13条形码的边缘段长度，而我们的解码算法允许在条形码图像中出现模糊区域。实验结果是在损坏，污染和刮擦的数字图像上进行的，为EAN-13条码的定位和解码提供了非常有希望的结果。

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