基于安卓平台提出了一种对水表图像读数进行自动识别的新方法.水表读数字符分割和识别算法主要包括三部分:①利用霍夫变换和一种投票策略检测出水表的外部轮廓,然后基于模板影像和水表中四个红色指针位置,利用仿射变换技术对水表字符区域进行定位;②对图像进行预处理和连通区检测,提出一种基于投票策略的方法进行字符分割;③在考虑数字字符可能出现粘连噪声和缺失的情况下,使用改进的Tesseract OCR识别引擎对字符进行识别.最终通过NDK编译平台将实现的C++程序移植到Android环境中.经过对100组数据进行系统功能测试,结果表明,水表智能识别系统取得了一定效果,能对水表读数进行比较准确和快速的读取.%An automatic water-meter character recognition method for the water-meter image obtained by the Android mobile phone was proposed.The proposed water-meter character segmentation and recognition algorithm mainly include three parts: ①the Hough transform and a voting strategy were used to detect the external outline of the water-meter, and then the affine transformation technique was used to locate the character region based on the template image and the positions of the four red pointers in the water-meter.②After doing some image preprocessing, the connected regions in the image were detected, and then the character segmentation based on another voting strategy was completed.③ In the case of considering the possible adhesion noise and the partial loss of the characters, the improved Tesseract OCR recognizer was used to do the character recognition.The completed C++ program of the water-meter character recognition system is ported to the Android environment through the NDK platform.Experiments conducted on 100 groups of test images showed that our water-meter character recognition system can achieve a certain effect and it can automatically read the water-meter characters accurately and quickly.
展开▼
