TY  - JOUR
T1  - A Survey of Feature Extraction Techniques in Content-Based Illicit Image Detection
AU - Hadi Yaghoubyan, S. AU - Maktabdar Oghaz, Mahdi AU - Zainal, Anazida AU - Aizaini Maarof, Mohd 
JO  - International Journal of Soft Computing
VL  - 15
IS  - 3
SP  - 78
EP  - 90
PY  - 2020
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2020.78.90
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2020.78.90
KW  - Feature extraction
KW  -internet filtering
KW  -fature detector
KW  -illicit image
KW  -feature extractor
AB  - For many of today’s youngsters and children,
the Internet, mobile phones and generally digital devices
are integral part of their life and they can barely imagine
their life without a social networking systems. Despite
many advantages of the internet, it is hard to neglect the
Internet side effects in people life. Exposure to illicit
images is very common among adolescent and children,
with a variety of significant and often upsetting effects on
their growth and thoughts. Thus, detecting and filtering
illicit images is a hot and fast evolving topic in computer
vision. In this research, we tried to summarize the existing
visual feature extraction techniques used for illicit image
detection. Feature extraction can be separate into two
sub-techniques feature detection and description. This
research presents the-state-of-the-art techniques in each
group. The evaluation measurements and metrics used in
other researches are summarized at the end of the study.
We hope that this research help the readers to better find
the proper feature extraction technique or develop a robust
and accurate visual feature extraction technique for illicit
image detection and filtering purpose.
ER  -