A performance study of the suitability of Adaptive boosting in Red Acne detection

Satyake Bakshi (Carleton University Ottawa, Ontario)
Sathya A (Vellore Institute of Technology)

Indonesian Journal of Electrical Engineering and Computer Science
Vol 14, No 3: June 2019

AdaBoost along with HaarCascades have been well received for its accuracy and performance in primarily Facial Recognition applications. However, they are known to perform poorly with objects which have a different rotational orientation or for objects whose shapes are largely variant . In this paper, we apply Adaptive Cascading technique to a specific dermatological application of detecting red acne which are largely shaped variant outgrowths on the skin and to identify its suitability in the detection of acne. Based on the outcome it would be declared if Viola-Jones based Adaptive Boosting is well suited for dermatological processing of skin diseases.