A consideration of effective feature extraction method for Nail Camera System

Author

Suzuki, Shohei ; Kato, Kunihito ; Yamamoto, Kazuhiko

Author_Institution

Fac. of Eng., Gifu Univ., Gifu, Japan

fYear

2011

fDate

9-11 Feb. 2011

Firstpage

1

Lastpage

6

Abstract

A text reader for mobile phone has a problem that the camera position is matched to a line in documents hardly. In this paper, we propose “Nail Camera System” by using character recognition to solve this problem. This system has an advantage that the position of the camera is matched to a line easily because the user attaches a small camera to user´s finger. Additionally, a line can be traced by simple and natural motion of the finger. However, obtained image from this system is often distorted, because users´ motion and angle of the finger is not stable. Therefore, in our method, four directional feature fields are used as a feature extraction method for character recognition. The effectiveness of our proposed approach is described with experimental results.

Keywords

cameras; character recognition; feature extraction; text analysis; character recognition; directional feature fields; feature extraction method; mobile phone; nail camera system; text reader; Cameras; Character recognition; Feature extraction; Fingers; Image edge detection; Nails; Pixel; Nail Camera System; character distortion; character recognition; four directional feature fields;

fLanguage

English

Publisher

ieee

Conference_Titel

Frontiers of Computer Vision (FCV), 2011 17th Korea-Japan Joint Workshop on

Conference_Location

Ulsan

Print_ISBN

978-1-61284-677-4

Electronic_ISBN

978-1-61284-676-7

Type

conf

DOI

10.1109/FCV.2011.5739715

Filename

5739715