CAJ | 학술논문

在分析文本行特点的基础上，提出了一种利用水平梯度差进行文档图像的文本行检测算法。该算法首先对输入的文档图像进行水平梯度差计算，然后在局部窗口中求解最大梯度差并进行文本行区域的合并，通过非文本区域过滤来消除字符阶跃的跳变，最后将文档图像以行块的形式进行显示。实验结果表明，与投影算法进行相比，该算法对于行间距较小的文档图像的检测效果较好，时间复杂度较低并且检测的正确率较高，具有一定的鲁棒性和较好的适应性。
재분석문본행특점적기출상，제출료일충이용수평제도차진행문당도상적문본행검측산법。해산법수선대수입적문당도상진행수평제도차계산，연후재국부창구중구해최대제도차병진행문본행구역적합병，통과비문본구역과려래소제자부계약적도변，최후장문당도상이행괴적형식진행현시。실험결과표명，여투영산법진행상비，해산법대우행간거교소적문당도상적검측효과교호，시간복잡도교저병차검측적정학솔교고，구유일정적로봉성화교호적괄응성。
Based on analyzing characteristics of text lines, the algorithm of using horizontal gradient difference was presented to detect text line. Firstly, the horizontal gradient difference was calculated in the gray image, and then the maximum gradient difference was solved in the local window, after text line areas merging, document image shows as inline-blocks. In order to eliminate characters with different heights, the idea of non-text filtering was used in the paper. The result shows that this algorithm has high accuracy as well as good detection rate. In addition, the algorithm still has some robustness and better applicability.