Face Detection Using Backpropagation Neural Networks

https://doi.org/10.22146/ijccs.2274

Anifuddin Azis(1*), Muhamad Haikal(2)

(1) 
(2) 
(*) Corresponding Author

Abstract


Abstract

This 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


Full Text:

PDF



DOI: https://doi.org/10.22146/ijccs.2274

Article Metrics

Abstract views : 2322 | views : 1839

Refbacks

  • There are currently no refbacks.




Copyright (c) 2007 IJCCS - Indonesian Journal of Computing and Cybernetics Systems

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.



Copyright of :
IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
ISSN 1978-1520 (print); ISSN 2460-7258 (online)
is a scientific journal the results of Computing
and Cybernetics Systems
A publication of IndoCEISS.
Gedung S1 Ruang 416 FMIPA UGM, Sekip Utara, Yogyakarta 55281
Fax: +62274 555133
email:ijccs.mipa@ugm.ac.id | http://jurnal.ugm.ac.id/ijccs



View My Stats1
View My Stats2