DocumentCode :
3021759
Title :
A proposal of the effective recognition method for low-resolution characters from motion images
Author :
Nomura, Makoto ; Yamamoto, Kazuhiko ; Ohta, Hirotaka ; Kato, Kunihito
Author_Institution :
Fac. of Eng., Gifu Univ., Japan
fYear :
2005
fDate :
29 Aug.-1 Sept. 2005
Firstpage :
720
Abstract :
In this paper we propose a new effective method for low-resolution character recognition from motion images. This method extracts the feature directly from low-resolution images first, and reconstructs the high-resolution feature. Since low-resolution characters of motion images are recognized, a general idea is to reconstruct a high-resolution image first by using these low-resolution images, and it is extracted the feature from that high-resolution image. Feature extraction process of our proposed method has different view of the general idea. Our proposed method has higher accuracy than the general idea in low-resolution characters recognition. We show advantages of it by comparative recognition experiments under the database images and motion images.
Keywords :
character recognition; feature extraction; image motion analysis; image reconstruction; image resolution; feature extraction; feature reconstruction; image reconstruction; image resolution; low-resolution character recognition; motion images; Character recognition; Feature extraction; Gravity; Image databases; Image edge detection; Image recognition; Image reconstruction; Pixel; Proposals; Spatial databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 2005. Proceedings. Eighth International Conference on
ISSN :
1520-5263
Print_ISBN :
0-7695-2420-6
Type :
conf
DOI :
10.1109/ICDAR.2005.28
Filename :
1575639
Link To Document :
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