DocumentCode :
3700075
Title :
Structural statistic method identifying facial images by contour characteristic points
Author :
Diana Zahorodnia;Yuriy Pigovsky;Pavlo Bykovyy;Viktor Krylov;Ihor Paliy;Igor Dobrotvor
Author_Institution :
Ternopil National Economic University, Lvivska Str., 11, Ternopil, 46000, Ukraine
Volume :
1
fYear :
2015
Firstpage :
293
Lastpage :
297
Abstract :
This study discusses structural static method of human face identification for computer recognition systems based on building an identification vector as a set of characteristic points representing significant facial features with reduced data. It allowed providing an accurate classification invariant to the scale, rotation and shear at low computing complexity.
Keywords :
"Wavelet transforms","Interpolation","Image segmentation","Face","Complexity theory","Video surveillance"
Publisher :
ieee
Conference_Titel :
Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2015 IEEE 8th International Conference on
Print_ISBN :
978-1-4673-8359-2
Type :
conf
DOI :
10.1109/IDAACS.2015.7340746
Filename :
7340746
Link To Document :
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