Abstract Evaluation and benchmarking of real-time skin detectors remain challenging
because of multiple evaluation attributes that must be considered. Numerous evaluation and …

This study aimed to develop a new methodology for evaluating and benchmarking a multi-
agent learning neural network and Bayesian model for real-time skin detectors based on …

Objective: This research aims to survey the efforts of researchers in response to the new and
disruptive technology of skin cancer apps, map the research landscape from the literature …

Human skin detection is an essential step in most human detection applications, such as
face detection. The performance of any skin detection system depends on assessment of …

Evaluation and benchmarking of skin detectors are challenging tasks because of multiple
evaluation attributes and conflicting criteria. Although several evaluating and benchmarking …

This paper presents a novel rule-based skin detection method that works in the YCbCr color
space. The method is based on correlation rules that evaluate the combinations of …

A good skin detector that is capable of capturing skin tones under different conditions is
important for human-machine interaction applications. In a general situation, skin detectors …

Mobile phones are considered to be the most common communication devices in history.
Recently, mobile phones are not only used for casual greetings but also, sending and …

The main objective on this study proposed anti-pornography system works on four machine
learning methods in two different stages namely skin detector stage and pornography …

Unprecedented advances in Internet technologies with multimedia capabilities have
enabled pornography and adult content to be widely and freely distributed as easy as a click …