On-chip skin color detection using a triple-well CMOS process

Farid Boussaid; Douglas Chai; Abdesselam Bouzerdoum

doi:10.1117/12.522854

30 March 2004 On-chip skin color detection using a triple-well CMOS process

Farid Boussaid, Douglas Chai, Abdesselam Bouzerdoum

Proceedings Volume 5274, Microelectronics: Design, Technology, and Packaging; (2004) https://doi.org/10.1117/12.522854
Event: Microelectronics, MEMS, and Nanotechnology, 2003, Perth, Australia

Abstract

In this paper, a current-mode VLSI architecture enabling on read-out skin detection without the need for any on-chip memory elements is proposed. An important feature of the proposed architecture is that it removes the need for demosaicing. Color separation is achieved using the strong wavelength dependence of the absorption coefficient in silicon. This wavelength dependence causes a very shallow absorption of blue light and enables red light to penetrate deeply in silicon. A triple-well process, allowing a P-well to be placed inside an N-well, is chosen to fabricate three vertically integrated photodiodes acting as the RGB color detector for each pixel. Pixels of an input RGB image are classified as skin or non-skin pixels using a statistical skin color model, chosen to offer an acceptable trade-off between skin detection performance and implementation complexity. A single processing unit is used to classify all pixels of the input RGB image. This results in reduced mismatch and also in an increased pixel fill-factor. Furthermore, the proposed current-mode architecture is programmable, allowing external control of all classifier parameters to compensate for mismatch and changing lighting conditions.

Citation Download Citation

Farid Boussaid, Douglas Chai, and Abdesselam Bouzerdoum "On-chip skin color detection using a triple-well CMOS process", Proc. SPIE 5274, Microelectronics: Design, Technology, and Packaging, (30 March 2004); https://doi.org/10.1117/12.522854

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available