Digital recognition based on sewing method

Abstract

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.