Hadoop Small Image Processing Technology Based on Big Data Processing and Its Application Effect in Face Feature Extraction and Face Recognition System Design

Table 2

Types of feature set.

RFS-3: symmetry		Lip height/nose-mouth	Dist (24, 31)/dist (22, 27)
Descriptions (distance/distance)	Ratio vector	Face height/face width	Dist (2, 32)/dist (22, 27)
Eyebrows	Dist (3, 4)/dist (5, 2)	Nose-jaw/mouth-jaw	Dist (22, 32)/dist (29, 30)
	Dist (7, 2)/dist (8, 2)	Nose width/nose-mouth	Dist (21, 23)/dist (20, 27)
Eyes	Dist (7, 2)/dist (8, 2)	Mouth width/nose width	Dist (28, 30)/dist (21, 23)
	Dist (12, 11)/dist (12, 13)	RFS-4: 8-ratio vectors
	Dist (17, 13)/dist (18, 13)	Descriptions (distance/distance)	Ratio vector
Nose	Dist (21, 20)/dist (23, 20)	Interpupillary/eyes-mouth	Dist (11, 15)/dist (13, 27)
		Interpupillary/face width	Dist (11, 15)/dist (20, 24)
Mouth	Dist (25, 22)/dist (24, 27)	Eyes-mouth/face height	Dist (13, 27)/dist (2, 32)
		Right pupil-mouth/left pupil-mouth	Dist (14, 29)/dist (11, 29)
	Dist (28, 27)/dist (29, 27)	Face top-eyebrows/eyes-jaw	Dist (1, 4)/dist (12, 32)
		Nose-mouth/mouth-jaw	Dist (12, 29)/dist (1, 32)
Face	Dist (7, 3)/dist (9, 4)	Eyes center-nose/nose-jaw	Dist (12, 18)/dist (18, 32)
		Eye center-face center/face width	Dist (mid (14, 12), 13)/dist (20, 24)