Performance of Face Recognition System Using Gradient Laplacian Operators and New Features Extraction Method Based on Linear Regression Slope

Table 2

LoG (LF), zero cross filter (ZF), Canny filter (CF), SLP, PCA, and multilayer neural network (MLNN). Testing correct classification rate.

	Testing Rate	15%	20%	30%	40%	Weitghted Mean
Technique	LF-SLP-ANN	96.0000	95.2381	93.0765	92.5632	95.21945
	LF-PCA-ANN	96.9759	95.8745	90.5467	90.7216	93.5296
	ZF-SLP-ANN	100.0000	95.2381	94.0299	93.8199	95.7719
	ZF-PCA-ANN	96.6567	95.3425	88.0548	92.2045	93.0646
	CF-SLP-ANN	93.5484	93.6509	92.6547	91.5614	92.8585
	CF-PCA-ANN	88.7086	92.7546	90.5187	91.5032	90.8711