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Compact disc serial number inspection system

机译:光盘序列号检查系统

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Abstract: This paper presents a reliable neural network based system for compact disc serial number inspection. Four major steps are performed in this system, namely polar image conversion, segmentation, recognition, and verification. Polar image conversion straightens the circular stripe images containing the serial numbers to horizontally linear images, segmentation divides the images into separate character segments, recognition classifies the separate character segments by a trained neural network, and verification double checks the characters with their verification neural networks if the serial number is known. Special back-propagation training processes for recognition and verification neural networks are used to increase the system's performance. Excellent recognition results for this system implemented in the Sony SUPER vision system have been obtained. Moreover, this system can process more than 3 compact discs in one second.!5
机译:摘要:本文提出了一种可靠的基于神经网络的光盘序列号检查系统。该系统执行四个主要步骤,即极性图像转换,分割,识别和验证。极性图像转换将包含序列号的圆形图像矫直为水平线性图像,分段将图像划分为单独的字符段,通过训练有素的神经网络识别对单独的字符段进行分类,并通过验证神经网络对字符进行双重检查序列号是已知的。用于识别和验证神经网络的特殊反向传播训练过程用于提高系统性能。在Sony SUPER视觉系统中实施的该系统获得了出色的识别结果。而且,该系统在一秒钟内可以处理3个以上的光盘。!5

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