Presentation 1998/1/23
Low Quality String Recognition for Factory Automation
Kazuhiro SAWA, Tetsushi WAKABAYASHI, Shinji TSURUOKA, Fumitaka KIMURA, Yasuji MIYAKE,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this report, we propose and describe a new recognition procedure for a low quality character string printed on a steel piece for Factory Automation. The character string consists of alphanumerals and '-'. The procedure includes the image emphasis with Gaussian Laplacian filter, the extraction of the character string image, the segmentation-recognition with the dynamic programming, and the high accuracy character recognition. We evaluated the accuracy for 1036 images (=8806 characters) scanned by the monochrome video camera at an actual steel producting factory line. The average recognition rate was 99.2% for the character recognition, and 91.6% for the character string recognition.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) character segmentation / FA / DP matching / string recognition / Gaussian Laplacian filter
Paper # PRMU97-214
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Conference Information
Committee PRMU
Conference Date 1998/1/23(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Low Quality String Recognition for Factory Automation
Sub Title (in English)
Keyword(1) character segmentation
Keyword(2) FA
Keyword(3) DP matching
Keyword(4) string recognition
Keyword(5) Gaussian Laplacian filter
1st Author's Name Kazuhiro SAWA
1st Author's Affiliation Department of Information Engineering, Faculty of Engineering, Mie University()
2nd Author's Name Tetsushi WAKABAYASHI
2nd Author's Affiliation Department of Information Engineering, Faculty of Engineering, Mie University
3rd Author's Name Shinji TSURUOKA
3rd Author's Affiliation Department of Electrical and Electronic Engineering, Faculty of Engineering, Mie University
4th Author's Name Fumitaka KIMURA
4th Author's Affiliation Department of Information Engineering, Faculty of Engineering, Mie University
5th Author's Name Yasuji MIYAKE
5th Author's Affiliation Department of Information Engineering, Faculty of Engineering, Mie University
Date 1998/1/23
Paper # PRMU97-214
Volume (vol) vol.97
Number (no) 501
Page pp.pp.-
#Pages 6
Date of Issue