3D rotation angle estimation of camera captured characters

Kanta Kuramoto, Wataru Ohyama, Tetsushi Wakabayashi, Fumitaka Kimura

Research output: Contribution to journalArticle

Abstract

Recently, expectations for camera-based document analysis and recognition have increased by improved performance of digital camera devices. In this paper, we propose a rotation angle estimation method using Gray-Scale Gradient Feature and Modified Quadratic Discriminant Function (MQDF). This method can recognize characters and estimate the rotation angle of those characters rapidly. As the result of the evaluation experiment using printed alphanumeric character, we have confirmed that the low dimensional feature vector is sufficient to estimate the rotation angle of characters. Also, we reduced the number of used eigenvectors of the covariance matrix to calculate the MQDF while keeping estimation accuracy.

Original languageEnglish
Pages (from-to)1817-1823
Number of pages7
JournalIEEJ Transactions on Electronics, Information and Systems
Volume134
Issue number12
DOIs
Publication statusPublished - Jan 1 2014

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Cameras
Digital cameras
Covariance matrix
Eigenvalues and eigenfunctions
Experiments

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

3D rotation angle estimation of camera captured characters. / Kuramoto, Kanta; Ohyama, Wataru; Wakabayashi, Tetsushi; Kimura, Fumitaka.

In: IEEJ Transactions on Electronics, Information and Systems, Vol. 134, No. 12, 01.01.2014, p. 1817-1823.

Research output: Contribution to journalArticle

Kuramoto, Kanta ; Ohyama, Wataru ; Wakabayashi, Tetsushi ; Kimura, Fumitaka. / 3D rotation angle estimation of camera captured characters. In: IEEJ Transactions on Electronics, Information and Systems. 2014 ; Vol. 134, No. 12. pp. 1817-1823.
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