SBIR Phase I: IBARS - An Image Barcode Acquisition and Recognition System for Mobile Commerce

SBIR 第一阶段：IBARS - 用于移动商务的图像条形码采集和识别系统

• 批准号: 0340008
• 负责人: David Doermann
• 金额: $ 10万
• 依托单位: Applied Media Analysis, Inc.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-01-01 至 2004-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0340008&HistoricalAwards=false
• 关键词: SBIR; Phase; IBARS; Image; Barcode

This Small Business Innovation Research(SBIR) Phase I research project seeks to leverage the convergence of processing and sensor technologies in widely available camera-equipped cellular telephones to develop e-commerce applications centered on the acquisition and recognition of barcode images. Modern handheld devices present a convergence of many technologies in a handy package, including networking, voice, cameras, processing, location- sensing and displays. However, small-size and long battery-life requirements lead to limited processing power, limited-resolution cameras, and varying available network bandwidth on such handheld devices. To make the concept feasible, improvements are needed in the 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. This Phase I research will tackle these issues to demonstrate feasibility.The proposed downloadable component for barcode and signs recognition will enable many applications including sales, order-fulfillment, information-delivery and others. Merchants, advertisers, information providers and other service providers are likely partners and customers for the proposed technology besides service-providers and OEMs. Medical care delivery, military applications, sign recognition for the visually challenged are also potential users of this technology.

这个小型企业创新研究（SBIR）第一阶段研究项目旨在利用广泛使用的配备摄像头的蜂窝电话中的处理和传感器技术的融合，开发以条形码图像的获取和识别为中心的电子商务应用程序。现代手持设备在一个方便的包中呈现了许多技术的融合，包括网络、语音、相机、处理、位置传感和显示。然而，小尺寸和长电池寿命的要求导致有限的处理能力，有限的分辨率相机，并在这些手持设备上变化的可用网络带宽。为了使这一概念可行，需要改进执行计算机视觉、图像处理和模式识别的算法，使它们既具有计算效率，又足够小，以适应消费者设备的内存。要克服的挑战包括能够解扭曲图像，以解决由于透视成像、衬底扭曲或非平面表面而导致的失真。图像需要进行处理，以解决成像伪影，如非均匀照明、模糊和高光。系统中的识别算法必须能够识别许多符号，利用图像中可用的额外信息来处理退化，并且是高效和小型的。第一阶段的研究将解决这些问题，以证明可行性。拟议的条形码和标志识别可下载组件将使许多应用程序，包括销售，订单履行，信息传递和其他。除了服务提供商和OEM之外，商家、广告商、信息提供商和其他服务提供商也可能是所提出的技术的合作伙伴和客户。医疗服务、军事应用、视觉障碍者的标志识别也是这项技术的潜在用户。