University of Bahrain
Scientific Journals

Gender Classification on Video Using FaceNet Algorithm and Supervised Machine Learning

Show simple item record Adhinata, Faisal Junaidi, Apri 2022-01-09T20:20:23Z 2022-01-09T20:20:23Z 2022-01-09
dc.identifier.issn 2210-142X
dc.description.abstract Gender classification using human face data becomes a trending topic for researchers in the field of image processing and computer vision. The human face is biometric information that can be used to differentiate gender using a computer-aided system. Previous research utilized a local feature algorithm for extracting features on the face. However, the processing speed for one image was more than 2 seconds, making it suitable for real-time processing using video data. Processing video data requires a fast feature extraction algorithm because video data collects sequential images (frames). Moreover, the gender classification system's success is also measured by its accuracy, consequently it is necessary to choose the correct classification method to divide the two classes of men and women. In this study, we propose the FaceNet algorithm for feature extraction and explore several supervised machine learning methods (K-NN, SVM, and Decision tree) appropriate for gender classification on video data. This study used 10,000 training data on each gender. From the experiment, combination of the FaceNet algorithm and K-NN method resulted in the best accuracy of 96% with a processing speed of 0.058 seconds on each frame. en_US
dc.language.iso en en_US
dc.publisher University of Bahrain en_US
dc.subject Gender Classification en_US
dc.title Gender Classification on Video Using FaceNet Algorithm and Supervised Machine Learning en_US
dc.volume 11 en_US
dc.issue 1 en_US
dc.pagestart 199 en_US
dc.pageend 208 en_US
dc.contributor.authorcountry Indonesia en_US
dc.contributor.authoraffiliation Institut Teknologi Telkom Purwokerto, en_US
dc.source.title International Journal of Computing and Digital Systems en_US
dc.abbreviatedsourcetitle IJCDS en_US

Files in this item

This item appears in the following Issue(s)

Show simple item record

All Journals

Advanced Search


Administrator Account