In this paper we present a robust algorithm for the recognition of 1-D barcodes using camera phones. The recognition algorithm is highly robust regarding the typical image distortions and was tested on a database of barcode images, which covers typical distortions, such as inhomogeneous illumination, reflections, or blurs due to camera movement. We present results from experiments with over 1,000 images from this database using a MATLAB implementation of our algorithm, as well as experiments on the go, where a Symbian C++ implementation running on a camera phone is used to recognize barcodes in daily life situations. The proposed algorithm shows a close to 100% accuracy in real life situations and yields a very good resolution dependent performance on our database, ranging from 90.5% (640 × 480) up to 99.2% (2592 × 1944). The database is freely available for other researchers. Further we shortly present MobilePID, an application for mobile product information display on web-enabled camera phones. MobilePID uses product information services on the internet or locally stored on-device data.
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机译：本文介绍了一种稳定算法，用于使用相机手机识别1-D条形码。识别算法对典型图像失真具有高度稳健的稳健性，并且在条形码图像的数据库上测试，该数据库涵盖典型的失真，例如由于相机运动导致的不均匀照明，反射或模糊。我们使用我们的算法的Matlab实施以及Go的实验，以及在摄像机手机上运行的Symbian C ++实现，使用来自该数据库的70多个图像的实验结果，以及在摄像机手机上运行的Symbian C ++实现。所提出的算法在现实生活中显示了接近100％的精度，在我们的数据库中产生了非常好的分辨率性能，从90.5％（640×480）到高达99.2％（2592×1944）。数据库可免费提供其他研究人员。此外，我们很快呈现Mobilepid，是在支持Web的相机手机上的移动产品信息显示的应用程序。 MobilePid使用Internet上的产品信息服务或本地存储的设备上的数据。
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