基于缝纫方法的数字识别

Nan Dong, Yong Zhang, Qinjun Zhao
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引用次数: 1

摘要

当人们无法近距离识别仪器数量时,只能通过摄像头将显示屏上的数字区域传输给计算机,通过计算机的相关软件和算法实现数字识别。经过几何校正、灰度化、阈值化、腐蚀膨胀等图像预处理操作后,采用投影法对图像进行分割,并采用缝纫法对数字进行识别。与传统的数字识别方法相比,该方法的识别效率很高。在字符预处理操作后,利用图像水平线和垂直线的组合特征完成级联分类。在基于缝纫方法的数字图像采集与识别系统中,识别和测试了4320个数字,平均每秒可处理122个数字。该方法具有较好的处理速度、识别精度和抗干扰性。
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Digital recognition based on sewing method
When people can't get close to identify the number of instruments, the digital area on the display screen can only be transmitted to the computer by the camera, and the digital recognition is realized through the computer's related software and algorithms. After image pre-processing operations, such as geometric correction, gray-scale, threshold and corrosion expansion, the projection method is used to segment the image and the number is identified by the sewing method. Compared with the traditional method of digital recognition, the efficiency of the sewing method is very high. The combination features of the horizontal and vertical thread of the image is used to complete the cascade classification after the character preprocessing operation. In the digital image acquisition and recognition system based on sewing method, 4320 numbers are identified and tested, of which an average of 122 digits can be handled per second. This method performs well in processing speed, recognition accuracy and anti-interference.
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