Paper
2 September 1993 Compact disc serial number inspection system
Toru Oki, Philip Paolella, Andrew Chiu
Author Affiliations +
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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Toru Oki, Philip Paolella, and Andrew Chiu "Compact disc serial number inspection system", Proc. SPIE 1965, Applications of Artificial Neural Networks IV, (2 September 1993); https://doi.org/10.1117/12.152551
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KEYWORDS
Image segmentation

Compact discs

Neural networks

Inspection

Optical character recognition

Cadmium

Machine vision

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