A general review of human face detection including a study of neural networks and Haar feature-based cascade classifier in face detection

Author(s):  
Ali Sharifara ◽  
Mohd Shafry Mohd Rahim ◽  
Yasaman Anisi
1997 ◽  
Vol 15 (9) ◽  
pp. 713-735 ◽  
Author(s):  
Kin Choong Yow ◽  
Roberto Cipolla

2008 ◽  
Vol 12 (1-2) ◽  
pp. 112-115 ◽  
Author(s):  
Yau-Zen Chang ◽  
Kao-Ting Hung ◽  
Shih-Tseng Lee

2008 ◽  
Vol 56 (1) ◽  
pp. 56-61
Author(s):  
K. I.-J. Ho ◽  
T.-S. Chen ◽  
M.-Y. Chang ◽  
J. Chen

Author(s):  
Anifuddin Azis ◽  
Muhamad Haikal

AbstractThis paper summarizes a research effort in human face detection. A system to locate human faces in images, especially when used as a front-end for a human face identification system, could have many applications in the law enforcement and security professions. The approach presented here is a hybrid system using an edge deletion preprocessor and back-propagation neural networks. The method proposed successfully detected multiple faces. The results obtained are reported along with a discussion for improving the system.Keywords: Backpropagation neural networks, Edge Detection


2002 ◽  
Vol 122 (6) ◽  
pp. 995-1000 ◽  
Author(s):  
Stephen Karungaru ◽  
Minoru Fukumi ◽  
Norio Akamatsu

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