Review on Face Recognition Using Fuzzy Logic Hidden Markov and Neural Network Techniques

Zainab Alsaied. E. Mansur, Naji F. Mohammed Esmaail, Fawzia A. E. Mansur

Abstract: In the modern years face recognition has grown up to be one of the mainly successful machine learning applications. Face detection is a serious problem as an outcome of the wide difference of face appearance. It is required for business and law rescue consequently many researchers are interested in this searching area. Moreover, many different face detection models have developed and many different methods have applied as well various image features were selected. However, in this paper we outline the strategy and the description as well the performance of three remarkable classification techniques specifically fuzzy logic, Hidden Markov and Neural network that have been implemented in face recognition task. The result showed that Neural network is a competitive technique based on the study of its performance as well the advantages and disadvantages of considered face detection methods.

Keywords: Face Recognition, Fuzzy logic, Hidden Markov, Neural network,

How to Cite?: Zainab Alsaied. E. Mansur, Naji F. Mohammed Esmaail, Fawzia A. E. Mansur, "Review on Face Recognition Using Fuzzy Logic Hidden Markov and Neural Network Techniques", Volume 7 Issue 5, May 2018, International Journal of Science and Research (IJSR), Pages: 1137-1241, https://www.ijsr.net/getabstract.php?paperid=ART20182502, DOI: https://dx.doi.org/10.21275/ART20182502