A face recognition system has been developed and demonstrated at the Rutgers University Center for Computer Aids for Industrial Productivity. The system uses a preliminary data reduction step, gray scale projection, and a fast transform technique to greatly reduce the computational complexity of the problem and, consequently, the cost of high-speed implementation. The decision function is a new, extremely cost-effective neural network, the Mammone/Sankar Neural Tree Network. This paper examines the use of gray scale projection in detail, and demonstrates the use of 1D signal processing techniques in 2D imaging applications. Results are presented showing immunity to changes in expression and small rotations about the vertical axis.

Date Published: 25 October 1994
PDF: 11 pages
Proc. SPIE 2277, Automatic Systems for the Identification and Inspection of Humans, (25 October 1994); doi: 10.1117/12.191884

Published in SPIE Proceedings Vol. 2277:
Automatic Systems for the Identification and Inspection of Humans
Richard J. Mammone; J. David Murley Jr., Editor(s)