DOI QR코드

DOI QR Code

Design of OpenCV based Finger Recognition System using binary processing and histogram graph

  • Baek, Yeong-Tae (Dept. of Multimedia, Kimpo University) ;
  • Lee, Se-Hoon (Dept. of Computer Systems & Engineering, Inha Technical College) ;
  • Kim, Ji-Seong (Dept. of Computer Systems & Engineering, Inha Technical College)
  • 투고 : 2016.02.05
  • 심사 : 2016.02.22
  • 발행 : 2016.02.29

초록

NUI is a motion interface. It uses the body of the user without the use of HID device such as a mouse and keyboard to control the device. In this paper, we use a Pi Camera and sensors connected to it with small embedded board Raspberry Pi. We are using the OpenCV algorithms optimized for image recognition and computer vision compared with traditional HID equipment and to implement a more human-friendly and intuitive interface NUI devices. comparison operation detects motion, it proposed a more advanced motion sensors and recognition systems fused connected to the Raspberry Pi.

키워드

참고문헌

  1. Gwang-hyung Lee, Dong-kyoo Shin, Don-gil Shin, "NUI/NUX framework based on intuitive hand motion" Korea Network Information Society pp .12-13, Jun. 2014
  2. Intel , "Color Models" Intel Developer Zone , https://software.intel.com/en-us/node/503873
  3. Logic Devices, "RGB to YCbCr Report" Logic Devices pp .2, Jan 2001, http://www.logicdevices.com/support/appnotes/lf3370rgb.pdf
  4. Jong-Hong Sin, Sun-Bong Jang, In-Ho Ji, "IT CookBook - Introduction to Digital Image Processing" ,Hanbit Media pp C-11, Jan. 2008
  5. Ju-Hwang Kim, jeong-hun Park, Jong-seo Jeon, Min-Goo Kang, Seung-Hyun Lee, "Recognition of Hand Interface for PC-Mouse using OpenCV" Korea Network Information Society pp .303-306, 2009
  6. Einführungspraktikum Computer Vision, "Digital Image Processing" R.C Gonzalez & R.E Woods , pp. 7, 2008
  7. Fabrizio Dini, giuseppe lisanti, "ImageProcessing with OpenCV" PPM2010 Seminar, pp. 11, 2010

피인용 문헌

  1. PC User Authentication using Hand Gesture Recognition and Challenge-Response vol.8, pp.2, 2016, https://doi.org/10.14801/jaitc.2018.8.2.79