Title :
Application of a post-processing algorithm for improved human face recognition
Author :
Artiklar, Metin ; Hassoun, Mohamad H. ; Watta, Paul
Author_Institution :
Dept. of Electr. & Comput. Eng., Wayne State Univ., Detroit, MI, USA
Abstract :
This paper presents a shifting algorithm which can be used in a pattern recognition system to improve the system´s performance in the presence of shifted input patterns. The algorithm is outlined and simulation results are presented for some human face recognition experiments. It is shown that the shifting algorithm improves recognition performance for several different face recognition algorithms
Keywords :
face recognition; neural nets; human face recognition; post-processing algorithm; shifting algorithm; Application software; Computational modeling; Face recognition; Hamming distance; Humans; Image processing; Image recognition; Pattern recognition; Pixel; System performance;
Conference_Titel :
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5529-6
DOI :
10.1109/IJCNN.1999.836184
