A Novel Camera Phone Based Barcode Reading System

摘要：

In this paper we present a novel method to use a camera phone to scan the barcode for the e-commerce applications. Modern mobile phones present a convergence of many technologies in a handy package, including networking, voice, cameras, processing, location-sensing and displays. To make the concept feasible, it is important to develop algorithms performing computer-vision, image-processing, and pattern-recognition, so that they are both computationally efficient and small enough to fit in the memory of consumer devices. Challenges to overcome include being able to unwarp images to account for distortions due to perspective imaging, warping of the substrate, or non-flat surfaces. The image needs to be processed to account for imaging artifacts such as non-uniform lighting, blurring, and highlights. The recognition algorithms in the system must be able to recognize many symbologies, make use of extra information available in images to tackle degradations, and be efficient and small. In this paper we tackle these issues to demonstrate the feasibility.

关键词： Pattern recognition mobile imaging barcode image enhancement

作者: Yanfen Cheng HongXia Wang Huiping Li

作者单位: School of Computer Science and Technology, Wuhan University of Technology, Wuhan 430063, China Applied Media Analysis, Inc. Maryland, 20742, USA

会议类型: 国际会议

会议名称: 2010 International Conference on Measurement and Control Engineering(2010年IEEE测量与控制工程国际会议 ICMCE2010)

会议地点: 成都

会议语种:英文

页码: 631-635

在线出版日期: 2010-11-16（万方平台首次上网日期，不代表论文的发表时间）