DocumentCode
1954319
Title
Identity verification using audio-visual features
Author
Alim, Oasy Abdel ; Elboughdadly, Neamat ; El Morchedi, C. ; Safwat, Eman ; Abouelseoud, Gehan ; Badry, Nadia El ; Mohsen, Nevin
Author_Institution
Dept. of Electr. Eng., Alexandria Univ., Egypt
fYear
2000
fDate
2000
Abstract
A simple straightforward strategy to build a security system using audio-visual clues is proposed. A series of face and audio-visual verification is used to construct the system. The practical considerations that lead to specific data representation methods, design procedure, decision making criteria and subjective performance evaluation criteria involved in the research is illustrated. An account of the reasons behind choosing the used features and neural network architectures is included. Preliminary results of testing some of the nodes of the system on their members as well as intruders are shown
Keywords
audio-visual systems; biometrics (access control); face recognition; feedforward neural nets; neural net architecture; radial basis function networks; security; speaker recognition; audio-visual clues; audio-visual features; audio-visual verification; biometrics; data representation methods; decision making criteria; design procedure; face identification; face verification; feature extraction; feedforward neural network; identity verification; intruders; neural network architectures; radial basis function neural net; research; security system; subjective performance evaluation criteria; testing results; voice verification; Acoustic noise; Cepstral analysis; Error analysis; Face detection; Face recognition; Facial features; Image databases; Neural networks; Security; Spatial databases;
fLanguage
English
Publisher
ieee
Conference_Titel
Radio Science Conference, 2000. 17th NRSC '2000. Seventeenth National
Conference_Location
Minufiya
Print_ISBN
977-5031-64-8
Type
conf
DOI
10.1109/NRSC.2000.838939
Filename
838939
Link To Document