3D rotation angle estimation of camera captured characters

Kanta Kuramoto, Wataru Ohyama, Tetsushi Wakabayashi, Fumitaka Kimura

研究成果: Contribution to journalArticle査読

抄録

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.

本文言語英語
ページ(範囲)1817-1823
ページ数7
ジャーナルIEEJ Transactions on Electronics, Information and Systems
134
12
DOI
出版ステータス出版済み - 2014

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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