Application of Fuzzy Kernel C-Means in face recognition to identify look-alike faces

Zuherman Rustam, Ridhani Faradina

Research output: Contribution to journalConference articlepeer-review

2 Citations (Scopus)


Machine learning has been rapidly evolving and continuously developing. Many problems can be solved by machine learning. One of those is face recognition. There are many application of face recognition. One application that will be discussed in this research is face recognition to identify look-alike faces. Such application can be useful when dealing with huge data. Machine learning method that will be used is Fuzzy Kernel C-Means. This method is the modification of previous method Fuzzy C-Means. The kernel used is Radial Basis Function Kernel. Each image is characterised by its features. It is believed that reducing the number of features can also reduce the cost. Therefore, a feature selection method called Chi-Square was also used. Solving this problem in face recognition using Fuzzy Kernel C-Means resulted in quite high accuracies.

Original languageEnglish
Article number012045
JournalJournal of Physics: Conference Series
Issue number1
Publication statusPublished - 31 May 2019
Event3rd International Conference on Mathematics; Pure, Applied and Computation, ICoMPAC 2018 - Surabaya, Indonesia
Duration: 20 Oct 2018 → …


Dive into the research topics of 'Application of Fuzzy Kernel C-Means in face recognition to identify look-alike faces'. Together they form a unique fingerprint.

Cite this