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

机译:改进投影算法的集装箱货号检测与分割方法

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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
机译:近年来,监视系统已广泛应用于我们的日常生活中。监视系统通常用于出于某些目的监视指定目标。智能监视系统可以帮助我们从监视器屏幕上获取感兴趣的信息。除了应用于我们生活环境中的安全监控器以及人员或交通流量统计之外,它还广泛用于管理中。因此,如何利用现有的监控系统来提高准确率,减少人力资源是一个重要的问题。当前大多数监视系统都集中在车牌检测上,我们尝试将检测对象扩展到容器上。现有的车牌检测算法在用于集装箱代码检测上将面临一些困难。本文提出了一种用于容器的字符区域提取方法。我们还改进了投影方法,以减少由条形或标记对容器造成的影响,并使它可用于检测不规则的字符行

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