Personal identificaton through facial image based on isodensity maps

Kenji Fujimoto; Osamu Nakamura; Toshi Minami

doi:10.1117/12.196096

Abstract

The feasibility of a human face identification system using isodensity lines is demonstrated through experimental investigation. Isodensity lines are the boundaries of constant gray level areas obtained by quantizing a facial image. Utilization of these lines has the following advantages: (1) The technique is algorithmically and computationally simple to implement, both in hardware and in software. (2) Significant 3D structures can be reflected in the description of the face. (3) High discrimination accuracy is achieved, even for faces with spectacles or with thin bears (stubble). This system consists of a delineation of isodensity lines and a matching process. Extraction of the facial area is very easily put into practice by using a isodensity lines to represent the contour lines of the face. The matching process consists of template matching (global matching) and local compactness matching (fine matching) of registered and input isodensity lines. Experimental results show a 97.7% accuracy in matching 44 pairs of the same persons and a 100% accuracy in discriminating between 1892 pairs of different persons, including men with glasses or thin beards and women with or without make-up.

Citation Download Citation

Kenji Fujimoto, Kenji Fujimoto, Osamu Nakamura, Osamu Nakamura, Toshi Minami, Toshi Minami, } "Personal identificaton through facial image based on isodensity maps", Proc. SPIE 2249, Automated 3D and 2D Vision, (23 November 1994); doi: 10.1117/12.196096; https://doi.org/10.1117/12.196096

ACCESS THE FULL ARTICLE

PERSONAL SIGN IN
Full access may be available with your subscription

Email or Username Forgot your username?

Password Forgot your password?

Show

Remember Email/Username on this computer

Remember Password

No SPIE account? Create an account
or Institutional Sign In via Shibboleth

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

Members: $14.40

Non-members: $18.00 ADD TO CART

Show All Keywords

Keywords/Phrases

Search In:

Publication Years