In order to recognize document images (DIs) more efficiently, this paper analyzes the blind point of the gray co-occurrence matrix based features in document image recognition, and presents novel features based on rectangle frame histogram (RFH) for united recognition of document images.
为了更好地识别文本图像,分析了基于灰度共生矩阵的特征在文本图像识别中的盲点,提出利用矩形框直方图来形成新的特征,以此联合识别文本图像。
On the basis of the comparison and analyzing between high order probability density function moments of wavelet coefficients and characteristic function moments of histogram,a universal steganalysis combining color correlation degree and characteristic function moments of histogram is proposed which extracts the features from both luminance and chrominance compon
针对目前广义隐写分析多从灰度图中提取特征而忽略了颜色信息的缺陷,在分析和比较小波子带系数高阶概率密度函数(PDF)矩和直方图特征函数(CF)矩的基础上,提出结合颜色相关度和直方图CF矩的方法。
