改进的DKLT在彩色客票票号分割中的应用

针对铁路客票自动识别研究中票号与背景难以分离的票号分割问题,提出一种基于改进的离散KL变换(DKLT)的彩色铁路客票票号分割方法。首先,将彩色客票图像进行DKLT,然后,选择主要的特征信息进行图像重构,并采用三维空间直方图来检验处理后票号在图像中的聚类效果来滤除背景,最后,辅助以合适的形态学运算进行票号的有效分割,为铁路客票的识别提供条件,实验结果表明了该方法在铁路客票票号分割应用上的可行性。

Neural network approach to blindestimation of PN spreading sequence in lower SNR DS/SS signals

An approach based on discrete Karhunen-Loeve transformation of the DS/SS signals is proposed to estimate PN sequence in lower S/N ratio DS/SS signals. Characteristics of self-organization and principle components extraction of unsupervised neural networks are exploited adequately. Theoretical analysis and experimental results are provided to show that this approach can work well on the lower S/N ratio input signals.