• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
• /
• 2005.11a
• /
• pp.29-29
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• 2005

• 한국초전도학회:학술대회논문집
• /
• v.11
• /
• pp.73-73
• /
• 2001

• 한국초전도학회:학술대회논문집
• /
• v.12
• /
• pp.9-9
• /
• 2002

• Proceedings of the Korean Society of Marine Engineers Conference
• /
• 2011.06a
• /
• pp.288-288
• /
• 2011

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2011.06a
• /
• pp.191-192
• /
• 2011

• 한국초전도학회:학술대회논문집
• /
• v.15
• /
• pp.58-58
• /
• 2005

• The Bulletin of The Korean Astronomical Society
• /
• v.34 no.2
• /
• pp.44.2-44.2
• /
• 2009

• Proceedings of the Korea Water Resources Association Conference
• /
• 2004.05b
• /
• pp.687-690
• /
• 2004

• Proceedings of the KAIS Fall Conference
• /
• 2003.11a
• /
• pp.216-220
• /
• 2003

• Journal of Korea Multimedia Society
• /
• v.12 no.12
• /
• pp.1718-1727
• /
• 2009

Traditional character recognition systems usually aim at characters with simple variation. With the development of multimedia technology, printed characters may appear more diversely. Existing recognition technologies can't deal with Hangul recognition effectively in diverse environments. This paper presents a recognition system for multi-form Korean characters called RSMFK, which is based on the model of Hierarchical Temporal Memory (HTM). Our system can effectively recognize the printed Korean characters of different fonts, scales, rotation, noise and background. HTM is a model which simulates the neocortex of human brain to recognize and memorize intelligently. Experimental results show that RSMFK performs a good recognition rate of 97.8% on average, which is proved to be obviously improved over the conventional methods.