矿井地质记录中手写数字自动识别方法  

Automatic Recognition Method of Handwritten Number in Mine Geological Record

作　　者：马飞[1] 程荣花[1] 吕海莲[1] 

机构地区：[1]平顶山学院软件学院,河南平顶山467000

出　　处：《工矿自动化》2012年第11期99-101,共3页Journal Of Mine Automation

基　　金：河南省科技计划重点项目(112102210333);平顶山学院高层次人才科研启动经费资助项目(2008016)

摘　　要：针对目前矿井地质记录中采用人工判读方式识别手写数字效率较低的问题,提出了一种手写数字自动识别方法,详细介绍了颜色过滤及数字区域定位、数字分割、样本训练、数字识别等步骤。该方法利用计算机图像处理技术实现了对特定区域数字的自动定位和识别,提高了工作效率。For the problem that mine geological record uses manual recognition for handwritten numbers with low efficiency,the paper proposed an automatic recognition method of handwritten numbers,and introduced steps of color filtering and positioning of number area,number divide,sample training and number recognition in details.The method uses computer image processing technology to locate and identify numbers in specific region automatically,which improves work efficiency.

关 键 词：矿井 地质记录 手写数字 自动识别 图像处理 

分 类 号：TD67[矿业工程—矿山机电]