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Record type:	stať ve sborníku (D)
Home Department:	Ústav pro výzkum a aplikace fuzzy modelování (94410)
Title:	Recognition of heavily distorted characters on metal
Citace	Novák, V., Hurtík, P. a Habiballa, H. Recognition of heavily distorted characters on metal. In: Proceedings of the 2013 Joint IFSA World Congress NAFIPS Annual Meeting (IFSA/NAFIPS). IEEE, 2013. s. 733-738. ISBN 978-1-4799-0347-4.

Subtitle
Publication year:	2013
Obor:	Obecná matematika
Number of pages:	6
Page from:	733
Page to:	738
Form of publication:	Tištená verze
ISBN code:	978-1-4799-0347-4
ISSN code:
Proceedings title:	Proceedings of the 2013 Joint IFSA World Congress NAFIPS Annual Meeting (IFSA/NAFIPS)
Proceedings:	Mezinárodní
Publisher name:	IEEE
Place of publishing:	Neuveden
Country of Publication:	Sborník vydaný v zahraničí
Název konference:	IFSA World Congress
Místo konání konference:	Edmonton
Datum zahájení konference:
Typ akce podle státní příslušnosti účastníků:	Celosvětová akce
WoS code:
EID:

Key words in English:	character recognize, captcha
Annotation in original language:	This paper is inspired by real application whose task was to recognize letters and numbers printed on steel ingots. The problem is that the surface of ingots is very uneven ? ingots are either hot, or cut by rough instrument, the printing machine can be wear down, etc. The resulting characters are thus heavily distorted. It is a challenge to recognize the letters correctly. In this paper, we will compare three approaches: recognition based on application of mathematical fuzzy logic and a special human brain inspired approach.
Annotation in english language:	This paper is inspired by real application whose task was to recognize letters and numbers printed on steel ingots. The problem is that the surface of ingots is very uneven ? ingots are either hot, or cut by rough instrument, the printing machine can be wear down, etc. The resulting characters are thus heavily distorted. It is a challenge to recognize the letters correctly. In this paper, we will compare three approaches: recognition based on application of mathematical fuzzy logic and a special human brain inspired approach.

References

Reference

R01:	RIV/61988987:17610/13:A14017TU

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