multi-channel gabor wavelet transform 多通道Gabor变换
This thesis is based on the Writer Identification (WI) issue. The improved multi-channel Gabor wavelet technique is solved in the handwriting identification issue.
本论文以笔迹书写人身份鉴别问题为背景,研究基于改进的多通道Gabor小波变换的笔迹鉴别问题,建立了基于该算法的笔迹身份鉴别系统。
参考来源 - 基于改进的多通道Gabor小波变换的笔迹鉴别After analyzing the theory of multi-channel Gabor wavelet, the system of handwriting identification is made based on the structure of B/S in this thesis.
本文通过对改进型多通道Gabor滤波器的理论分析,最终建立起基于B/S架构的笔迹鉴别系统。
参考来源 - 基于混合编程的笔迹鉴别系统的实现·2,447,543篇论文数据,部分数据来源于NoteExpress
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