复杂背景下字符提取算法的分析与实现

Analysis and realizer of character detection arithmetic in complex background

为了在复杂背景下提取字符,采用了基于图像理论的降维算法和彩色游程算法,对复杂图像进行颜色聚类,通过阈值控制相近颜色的聚类,同时生成平均颜色的彩色游程信息,有效地合并了颜色种类,为字符区域的二值化奠定了良好的基础.实验结果表明,采用以上算法在复杂背景下提取字符,其识别率达到89%.

In order to detect characters in a complex background, two algorithms respectively of dimensionality reduction based on graph-theory and of color run-length are adopted to process image. The above algorithms cluster similar colors to generate average color run-length for image binarization by a threshold. The experiment result shows that the detected characters of eighty-nine percentages in a complex background are successfully recognized by OCR.