论文信息 - Performance Analysis of Human Face Recognition Techniques

Performance Analysis of Human Face Recognition Techniques

Face recognition has been thought-provoking task in object detection, digital image processing and pattern recognition. Face recognition plays a significant role in realtime surveillance systems. In this paper, we present a comprehensive overview of the state of the art research work on face detection and recognition. Furthermore, the performance analysis of various face recognition approaches are discussed and conclude the paper with future research direction.

Sharmila | Raman Sharma | Dhanajay Kumar | Vaishali Puranik | Kritika Gautham

[1] Nikolay L. Kazanskiy,et al. Performance analysis of real-time face detection system based on stream data mining frameworks , 2017 .

[2] Vaibhav Jain,et al. A GPU Based Implementation of Robust Face Detection System , 2016 .

[3] Juan C. Gutiérrez-Cáceres,et al. Fast Face Detection in Violent Video Scenes , 2016, CLEI Selected Papers.

[4] K. N. Balasubramanya Murthy,et al. Face Recognition using Filtered Eoh-sift☆ , 2016 .

[5] Azriel Rosenfeld,et al. Face recognition: A literature survey , 2003, CSUR.

[6] Abeer Alsadoon,et al. An Emotion Recognition Model Based on Facial Recognition in Virtual Learning Environment , 2018 .

[7] Teddy Mantoro,et al. Multi-Faces Recognition Process Using Haar Cascades and Eigenface Methods , 2018, 2018 6th International Conference on Multimedia Computing and Systems (ICMCS).