A REVIEW PAPER ON FACE RECONGNITION ALGORITHMS AND TECHNIQUES
Sheikh Irfan Ul Haq
, Ms Rashmi , Mr Gurbaj Singh
Face Detection, Face Recognition, Feature Extraction, Digital Image, Image Processing
The face spoof technique was proposed to identify and detect the spoofed and non-spoofed images. The DWT technique is used to analyze the textual features present within the test images. There is a possibility that some exceptional disturbances are available like geometric disturbances and the artificial texture disturbances. The camera and the illumination subordinates are mostly responsible for such disturbances. A perfect camera with no defects should be used just to notice the difference between the geometric, the illumination and the texture based disturbances. To detect the whether the image is spoofed or non-spoofed already existed technique SVM classifier is used. The SVM based technique is proposed in the previous work for the detection of face spoof. The face spoof detection techniques are based on two steps, the first step is of feature extraction and second is of classification. The eigan based technique is applied for the feature extraction and SVM classifier is applied for the classification. To improve accuracy of the face spoof detection SVM classifier will be replaced with the KNN classifier. The Comparisons are made to analyze the performance of the proposed algorithm and the existing algorithm in terms of accuracy and time of execution.
"A REVIEW PAPER ON FACE RECONGNITION ALGORITHMS AND TECHNIQUES ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.4, Issue 7, page no.320 - 326, July-2019, Available :https://ijsdr.org/papers/IJSDR1907055.pdf
Volume 4
Issue 7,
July-2019
Pages : 320 - 326
Paper Reg. ID: IJSDR_190809
Published Paper Id: IJSDR1907055
Downloads: 000347199
Research Area: Engineering
Country: SHOPIAN , JAMMU AND KASHMIR , India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
