基于字符包络和笔画宽度的伪车牌判断方法

车牌定位结果中往往存在一些误检,为了减少车牌识别后续模块的计算负担,并提升最终识别结果准确率,提出一种基于字符包络分析和笔画宽度统计的伪车牌排除方法。该方法将车牌定位结果图像二值化和反色判断后,对二值图中字符前景的上下轮廓提取包络,统计上下包络线的间距,设定阈值排除一部分伪车牌;再对二值图像各行前景点进行笔画宽度统计,计算得到多个指标,进一步排除更多伪车牌。实验结果表明,该方法能排除复杂场景中的绝大多数伪车牌。

一种基于字符包的Levenshtein句子匹配算法

本文针对句子匹配问题提出了一种高效基于字符包的Levenshtein算法(CWLA),该算法倾向于找到与源句子形式上相似的句子。我们在双语句子数据集上进行了实验,实验结果表明在英汉数据集上CWLA能够在缩短71.9%时间的前提下将传统基于字符的Levenshtein算法(CLA)的平均BLEU4值提升14.5%;在俄汉数据集上,时间缩短了76.4%,平均BLEU4值提升了12.5%。由于字符包充分利用了单词内部字符的内聚性,使得CWLA能够以较小的时间代价获取较高的匹配性能。

A Packet I/O Architecture for Shell Script-based Packet Processing

We propose a new scripting model for rapid and easier development of packet processing using shell scripts. In this paper we present EtherPIPE, a character network I/O device, that allows the programmer to access network traffic data as a file through UNIX commands. By setting a UNIX pipe ＂r＇ from or to EtherP1PE＇s output or input with UNIX commands, packets can be easily processed, executing functions such as packet filtering, packet capturing, generating arbitrary packets, and rewriting header information. In order to prove the utilities of our model, we have developed FPGA-based EtherPIPE adapter using a commodity FPGA card and a character device driver featuring new offloading functions. With our prototype implementation, packet scripting works at 1Gbps wire-speed, receiving packets with precise hardware timestamps. This paper argues for use cases of the EtherPIPE, and discusses enhanced formats of character devices for easier network scripting.）