Comparison of Face Recognition algorithms & its subsequent impact on side face

The use of pattern recognition and classification has increased in various real world applications such as face recognition and other crucial applications. The key aim, of these applications, is to automate the various complicated task. This paper presents the face recognition application and their investigation. The investigation of the face recognition leads to find some of the most optimum approaches to develop an enhance and accurate application. Thus, a strong survey is presented in this work and for developing the accurate and efficient face recognition application a method as the future extension is also suggested.

[1]  Sebastian Clauß,et al.  Identity management and its support of multilateral security , 2001, Comput. Networks.

[2]  Oscar Déniz-Suárez,et al.  Face recognition using Histograms of Oriented Gradients , 2011, Pattern Recognit. Lett..

[3]  Thanarat H. Chalidabhongse,et al.  An improved adaptive discriminant analysis for single sample face recognition , 2014, 2014 11th International Joint Conference on Computer Science and Software Engineering (JCSSE).

[4]  Edmund Spinella.  Biometric Scanning Technologies: Finger, Facial and Retinal Scanning , 2017 .

[5]  Petra Koruga,et al.  Trends in Hand Geometry Biometrics , 2012 .

[6]  Yeonseung Ryu,et al.  A Brief Introduction of Biometrics and Fingerprint Payment Technology , 2008, 2008 Second International Conference on Future Generation Communication and Networking Symposia.

[7]  Firoz Mahmud,et al.  Human face recognition using PCA based Genetic Algorithm , 2014, 2014 International Conference on Electrical Engineering and Information & Communication Technology.

[8]  K. Harshika.  Image Quality Assessment for Fake Biometric Detection : Application to Iris , Fingerprint , and Face Recognition , 2017 .

[9]  G. C. Nandi,et al.  Face recognition with liveness detection using eye and mouth movement , 2014, 2014 International Conference on Signal Propagation and Computer Technology (ICSPCT 2014).

[10]  Kalaiarasi Sonai Muthu,et al.  Face recognition with Symmetric Local Graph Structure (SLGS) , 2014, Expert Syst. Appl..

[11]  Abdesselam Bouzerdoum,et al.  Skin segmentation using color pixel classification: analysis and comparison , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[12]  R. K. Kulkarni,et al.  Face detection and facial expression recognition system , 2014, 2014 International Conference on Electronics and Communication Systems (ICECS).