Using sparse pixel character vectorisation for optical character recognition

Authors:
Qussay A. Salih;Vikram Adith Raman
Affiliations:
Division of CSIT, University of Nottingham (UK) Malaysia Campus, Malaysia;MSc Information Technology, Division of CSIT, University of Nottingham (UK) Malaysia Campus, Malaysia
Venue:
ACST'06 Proceedings of the 2nd IASTED international conference on Advances in computer science and technology
Year:
2006

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Abstract

An Optical Character Recognition (OCR) system was designed for reading identification numbers on semiconductor wafers, with speed and accuracy as the main priorities. The algorithm selected for this purpose was the Sparse Pixel Vectorisation algorithm, which was a very fast vectorisation algorithm due to its nature of having to visit very few pixels. A modified version of this algorithm, the Sparse Pixel Character Vectorisation algorithm (SPCV) was implemented, and it was shown that it served the objectives of the project, by performing high speed OCR.