A method of container codes detection and segmentation by using improved projection algorithm

S. Tai, Tang-Yu Chang, S. Wang
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引用次数: 4

Abstract

In recent year, surveillance system is widely used in our daily life. The surveillance system is usually applied to monitor specify target for some purpose. Intelligence surveillance system can helps us to get interested information from the monitor screen. In addition to applied to security monitor in our living environment and people or traffic flow statistics, it also widely used in management. Therefore, how to use existing surveillance system to improve the accuracy rate with reducing the human resources is an important issue. Most of the current surveillance systems focus on license plate detection, and we try to extend the detect object to the containers. The existing license plate detection algorithm would face some difficulties with using on container codes detection. This paper presents a character region extraction method for containers. We also improved projection method to reduce the effect caused by bars or marks on container and make it can be used to detect irregular rows of characters
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提出了一种基于改进投影算法的集装箱码检测与分割方法
近年来,监控系统在我们的日常生活中得到了广泛的应用。监控系统通常是为了某种目的而对指定的目标进行监控。智能监控系统可以帮助我们从监控画面中获取感兴趣的信息。它除了应用于我们生活环境的安防监控和人流或交通流量统计之外,还广泛应用于管理。因此,如何利用现有的监控系统在减少人力资源的情况下提高准确率是一个重要的问题。目前的监控系统大多集中在车牌检测上,我们试图将检测对象扩展到集装箱。现有的车牌检测算法在集装箱码检测中会遇到一些困难。提出了一种针对容器的字符区域提取方法。我们还改进了投影方法,减少了容器上的条形或标记所造成的影响,使其可以用于检测不规则行字符
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