Projection-based face recognition

J. Wilder, R. J. Mammone, P. Meer, A. Flanagan, K. Xu, A. Tsai, S. Weiner, X. Y. Zhang

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations

Abstract

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

Original languageEnglish (US)
Pages (from-to)22-32
Number of pages11
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume2277
DOIs
StatePublished - Oct 25 1994
EventAutomatic Systems for the Identification and Inspection of Humans 1994 - San Diego, United States
Duration: Jul 24 1994Jul 29 1994

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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