Implementation of Face Identification based on Color spectral and Local Texture Features
Manisha A. Tulaskar
, Prof. P. S Mohod
face recognition, local pattern, color channel fusion, Principal component analysis, Gabor wavelet.
The local pattern is the interesting term in face recognition and widely used for biometric and surveillance purpose so it received more popularity in terms of face identification and image analysis. Along with local pattern use of color textures improve quality of recognition by increasing correctness of analysis. In this paper we discuss various approaches that already implemented in face recognition to use these ideas in new task. It study various methods of color local texture feature extraction like LBP and Gabor wavelet and color channel fusion using techniques like PCA, LDA, Gabor wavelet. This paper gives implementation of face recognition using texture features and color information. It represents implemented technique using local pattern improves result than other existing technique upto 5 to 7 %.
"Implementation of Face Identification based on Color spectral and Local Texture Features", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.1, Issue 6, page no.456-461, July-2016, Available :https://ijsdr.org/papers/IJSDR1606079.pdf
Volume 1
Issue 6,
July-2016
Pages : 456-461
Paper Reg. ID: IJSDR_160560
Published Paper Id: IJSDR1606079
Downloads: 000347450
Research Area: Engineering
Country: nagpur, maharastra, 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
