Research and Application of Image Enhancement and Correction Algorithm of Handwritten Steel Plate Numbering Based on Machine Vision
Correct identification and inspection of steel plate numbers are major conditions for achieving automated production in production lines.In recent years,many production lines have been equipped with inkjet printers at the material preparation positions for automatically marking material numbers.Spray-printed handwriting is clear and heat-resistant,and the use of steel plate number recognition equipment can achieve a recognition rate of nearly 100％without application.However,due to equipment failures or limited funding and space,installing printing equipment and relying only on manual handwriting to mark numbers on the surfaces of steel plates are sometimes impossible.Compared with spray-printed numbers,handwritten numbers involve complex features,such as arbitrary writing,continuous strokes,and distorted handwriting,which limit the accuracy of the recognition system.Due to poor recognition performance,relying on manual visual inspection to assist in recognition is often necessary,which affects the implementation of material-tracking automation.To improve the recognition of handwritten steel plate numbers,this study introduces improvements to the traditional machine learning Optical Character Recognition(OCR)text-region detection algorithm.An algorithm for image enhancement and distortion correction is also proposed based on the characteristics of handwritten steel plate numbers.These algorithms are designed to improve the image quality and shapes of handwritten steel plate numbers,thereby increasing recognition accuracy.Overall,the study aims to improve the recognition of handwritten steel plate numbers to solve the difficulties associated with automated production.Through image enhancement and correction,the recognition system can process handwritten steel plate numbers more effectively,further promoting the automated implementation of material tracking.
Optical Character Recognition(OCR)steel plate numbering identificationhandwriting OCR area correctionOCR image preprocessingautomatic recognition
万方数据
维普
