Text Scanner with text detection technology on image sequences

Keechul Jung; Kwang In Kim; Takeshi Kurata; Masakastu Kourogi; Jung Hyun Han

Text Scanner with text detection technology on image sequences

Keechul Jung, Kwang In Kim, Takeshi Kurata, Masakastu Kourogi, Jung Hyun Han

Research output: Contribution to journal › Article › peer-review

Abstract

We propose a text scanner, which detects wide text strings in a sequence of scene images. For scene text detection, we use a multiple-CAMShift algorithm on a text probability image produced by a multi-layer perceptron. To provide enhanced resolution of the extracted text images, we perform the text detection process after generating a mosaic image in a fast and robust image registration method.

Original language	English
Pages (from-to)	473-476
Number of pages	4
Journal	Proceedings - International Conference on Pattern Recognition
Volume	16
Issue number	3
Publication status	Published - 2002
Externally published	Yes

ASJC Scopus subject areas

Computer Vision and Pattern Recognition

Cite this

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title = "Text Scanner with text detection technology on image sequences",

abstract = "We propose a text scanner, which detects wide text strings in a sequence of scene images. For scene text detection, we use a multiple-CAMShift algorithm on a text probability image produced by a multi-layer perceptron. To provide enhanced resolution of the extracted text images, we perform the text detection process after generating a mosaic image in a fast and robust image registration method.",

author = "Keechul Jung and Kim, {Kwang In} and Takeshi Kurata and Masakastu Kourogi and Han, {Jung Hyun}",

year = "2002",

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journal = "Proceedings - International Conference on Pattern Recognition",

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T1 - Text Scanner with text detection technology on image sequences

AU - Jung, Keechul

AU - Kim, Kwang In

AU - Kurata, Takeshi

AU - Kourogi, Masakastu

AU - Han, Jung Hyun

PY - 2002

Y1 - 2002

N2 - We propose a text scanner, which detects wide text strings in a sequence of scene images. For scene text detection, we use a multiple-CAMShift algorithm on a text probability image produced by a multi-layer perceptron. To provide enhanced resolution of the extracted text images, we perform the text detection process after generating a mosaic image in a fast and robust image registration method.

AB - We propose a text scanner, which detects wide text strings in a sequence of scene images. For scene text detection, we use a multiple-CAMShift algorithm on a text probability image produced by a multi-layer perceptron. To provide enhanced resolution of the extracted text images, we perform the text detection process after generating a mosaic image in a fast and robust image registration method.

UR - http://www.scopus.com/inward/record.url?scp=1842790414&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:1842790414

SN - 1051-4651

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SP - 473

EP - 476

JO - Proceedings - International Conference on Pattern Recognition

JF - Proceedings - International Conference on Pattern Recognition

IS - 3

ER -

Text Scanner with text detection technology on image sequences

Abstract

ASJC Scopus subject areas

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