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Proceedings Paper

Identifying IC type from its package label using character recognition technique
Author(s): Kap Luk Chan; Sirajudeen Gulam Razul; Eam-Khwang Teoh
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Paper Abstract

This paper presents a system for automatic recognition of Integrated Circuit chips on assembled circuit boards by recognizing characters on its package label. The paper concentrates on the extraction and recognition of these character. The extraction of characters involves binarization of the image, character localization, orientation alignment and character re-sizing. A pre-trained two-layer feed-forward neural network is used to recognize the extracted characters. The neural network is trained using the back-propagation method. Experimental results are presented.

Paper Details

Date Published: 18 August 1997
PDF: 8 pages
Proc. SPIE 3185, Automatic Inspection and Novel Instrumentation, (18 August 1997); doi: 10.1117/12.284046
Show Author Affiliations
Kap Luk Chan, Nanyang Technological Univ. (Singapore)
Sirajudeen Gulam Razul, Nanyang Technological Univ. (Singapore)
Eam-Khwang Teoh, Nanyang Technological Univ. (Singapore)

Published in SPIE Proceedings Vol. 3185:
Automatic Inspection and Novel Instrumentation
Anthony Tung Shuen Ho; Sreenivas Rao; Lee Ming Cheng, Editor(s)

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