Identifying IC type from its package label using character recognition technique

Kap Luk Chan; Sirajudeen Gulam Razul; Eam-Khwang Teoh

doi:10.1117/12.284046

18 August 1997 Identifying IC type from its package label using character recognition technique

Kap Luk Chan, Sirajudeen Gulam Razul, Eam-Khwang Teoh

Proceedings Volume 3185, Automatic Inspection and Novel Instrumentation; (1997) https://doi.org/10.1117/12.284046
Event: ISMA '97 International Symposium on Microelectronics and Assembly, 1997, Singapore, Singapore

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.

Citation Download Citation

Kap Luk Chan, Sirajudeen Gulam Razul, and Eam-Khwang Teoh "Identifying IC type from its package label using character recognition technique", Proc. SPIE 3185, Automatic Inspection and Novel Instrumentation, (18 August 1997); https://doi.org/10.1117/12.284046

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