• Beena Arul Anand
• Prof.A.S.Gaikwad

Automatic facial recognition is now widely used in applications ranging from identity deduplication to mobile payment authentication. This popularity of facial recognition has raised concerns about face simulation attacks (also known as biometric sensor presentation attacks), where a photo or video of an authorized person's face can be used to gain access to facilities or services. While a number of face detection techniques have been proposed, the ability to place general implications has not been adequately addressed. We offer a robust and relatively robust face detection algorithm using image distortion analysis (IDA). Four different features (Specular reflection, blurry, color moment and color variety) were isolated to create a feature IDA class ensemble vector, which consists of several SVM classifiers that have been trained for counterfeit face forgery attacks. Different method (Eg printed photos and replayed videos) used to distinguish between genuine faces and pseudo faces. The proposed method extends to detecting multiple face fakes in the video using voting patterns. In addition, we have compiled a database of face forgery, MSU Mobile Face Spoofing database (MSU MFSD) using two mobile devices (Google Nexus 5 and MacBook Air) with three types of spoof attacks. (Photos printed with replay videos with iPhone 5S and iPad Air)

Face Spoof Detection Using Chromatic Graph and Histogram Concatenation Method using Classification Techniques

"Face Spoof Detection Using Chromatic Graph and Histogram Concatenation Method using Classification Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.653-659, June 2019, Available :http://www.jetir.org/papers/JETIR1906J29.pdf

"Face Spoof Detection Using Chromatic Graph and Histogram Concatenation Method using Classification Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp653-659, June 2019, Available at : http://www.jetir.org/papers/JETIR1906J29.pdf