Recognition and defect detection of dot-matrix text via variation-model based learning-Reference-Cited by-同舟云学术

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Recognition and defect detection of dot-matrix text via variation-model based learning

Published:2017-03-13 Issue: Volume: Page:
ISSN:0277-786X
Container-title:SPIE Proceedings
language:
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Author:

Ohyama Wataru¹,Suzuki Koushi¹,Wakabayashi Tetsushi¹

Affiliation:

1. Mie Univ. (Japan)

Publisher

SPIE

Reference10 articles.

1. Degraded dot matrix character recognition using csm-based feature extraction;Namane,2010

2. Dot text detection based on fast points;Du,2011

3. Performance Improvement of Dot-Matrix Character Recognition by Variation Model Based Learning;Endo,2014

4. Modified quadratic discriminant functions and the application to Chinese character recognition;Kimura;IEEE Trans.,1987

5. Machine leaning for high-speed corner extraction;Rosten,2006

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1. Automatic recognition of hot spray marking dot-matrix characters for steel-slab industry;Journal of Intelligent Manufacturing;2021-08-22

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