Abstract—In taking hand-written note, the taking process
plays important roles for recalling related information in
addition of notations (words and figures) in the note. In this
paper, we focus on the process through taking hand-written
note. First, introduce an image processing method for the
deduction of the position of pen head by using a wearable type
camera. Next, we propose a method for the transformation of
the physical position of the pen head into the logical position
based on behaviors by students. Here, the logical position
denotes the line and character numbers in the hand-written
note. Moreover, we detect the face movement by using the
block-matching method.
Index Terms—Image processing, hand-written note, noting
process, wearable camera.
Eiji Watanabe is with the Faculty of Intelligence and Informatics, Konan
University, Kobe, Japan (e-mail: e_wata@konan-u.ac.jp).
Takashi Ozeki is with the Faculty of Engineering, Fukuyama University,
Fukuyama, Japan.
Takeshi Kohama is with the School of Biology-Oriented Science and
Technology, Kinki University, Kinokawa, Japan.
Cite: Eiji Watanabe, Takashi Ozeki, and Takeshi Kohama, "Digitization of Hand-Written Notes Using a Wearable Camera," International Journal of Information and Education Technology vol. 5, no. 10, pp. 723-727, 2015.