This is database that has face pictures constructed for analyzing the issue of uncontrolled recognition of faces which has 13,233 face pictures of 5,749 people assembled from the web. The pictures are collected in uncontrollable situations that have wide changes in expression, illumination, pose, time-gap and several kinds of occlusions. These faces is were detected solely by the Viola-Jones face detector. Every face is being labelled by the name of the person to be photographed. 1,680 of the persons photographed have 2 or more different pictures in the database. The aim of face authentication below the LFW database’s contract is to verify if a pair of face photos belongs to identical person or not. The pictures are present as 250 x 250 pixel JPEG pictures. In this database, most of pictures are in color, though some are grayscale solely 4.
E. CAS-PEAL Database
It contains of pictures from 66-1040 persons (595 male, 445 female) in 7 groups: expression, pose, accessory, lighting,
Fig. 4 Pose variation in the CAS-PEAL database 2.
time, background, and distance. For the pose subset, 9 cameras located in a hemicycle around the person were utilized. The pictures were captured continuously within a small time span (2 seconds) 2. This database can be downloaded from the link http://www.jdl.ac.cn/peal/index.html.
It was a collective work of Dr. Wechsler and Dr. Phillips. The pictures were gathered in an exceedingly semi-controlled condition. In order to keep a degree of uniformity within the database, the same physical arrangement was utilized in every span of photography. Because the instrumentation had to be assembled once more for each period, there have been few minor changes in photos collected on dissimilar dates. It was gathered in fifteen periods from August 1993 to July 1996.
It has 1564 groups of pictures in total a 14,126 that consists of 1199 persons and 365 duplicate groups of pictures. A duplicate set is another group of pictures of an individual present in the database that was generally captured on a dissimilar day. This database can be downloaded from the link http://www.nist.gov/humanid/feret/. The color FERET dataset can be downloaded from the link http://www.nist.gov/humanid/colorferet/.
Fig. 5 pose variations images from FERET database 6.
G. Korean Face Database (KFDB)
It consists of facial pictures of lots of Korean individuals gathered below constrained environments. In this, pictures with changing pose, lighting, and facial expressions were captured. The individuals were photographed within the middle of an octagonal structure and also the cameras were set between 450 off frontal in 2 orientations at 150 increments.
Fig. 6 Variations in pose from the Korean face database 2.
H. Yale Face Database B
It was the information gathered for the economical testing of face recognition techniques below appreciable changes in lighting and pose. The individuals were pictured within a geodesic dome by sixty four computer-controlled xenon strobes. The pictures of ten individuals were captured below sixty four lighting conditions in nine different poses. This database can be downloaded from the link http://cvc.yale.edu/projects/yalefacesB/yalefacesB.html.
Fig. 7 Variation in illuminations from Yale Face Database B 6.
I. Yale Face Database
It consists of eleven pictures of fifteen people in a different situations having with and without glasses, varies in expression of faces and lighting variation 2. This database can be downloaded from the link http://cvc.yale.edu/projects/yalefaces/yalefaces.html.
J. CMU Pose, Illumination, and Expression (PIE) Database
This database efficiently samples a several pose and lighting situations and different facial expressions. It has made an influence on development of algorithm for recognition of faces across pose. It consists of 41,368 pictures captured from 68 person. The RGB color pictures are 640 × 480 in size 3. This database can be downloaded from the link http://www.ri.cmu.edu/projects/project 418.html.
Fig. 8 Illumination variation images from PIE face database 3.
K. SCface Database
This database consists of stationary pictures of human faces. The pictures were captured in unconstrained conditions with the help of 5 video surveillance cameras of different features. It has 4160 stable pictures of one hundred thirty people. The pictures from several quality cameras create the practical-world situations which helps in robust face recognition algorithms testing. It is freely available to research community 3.
L. Georgia Tech Face Database
It consists of pictures of fifty person which are kept in JPEG format. In this, most of the pictures were captured in 2 dissimilar time spans to think about the changes in lighting conditions, facial expression, and look. Also, the faces were taken at dissimilar scales and directions. Every picture is manually marked to find the location of the face in the picture.
M. Japanese Female Facial Expression (JAFFE) Database
It consists of two hundred thirteen pictures of seven facial expressions (6 normal + 1 neutral) in various poses by ten Japanese feminine models. In this, all photos has been evaluated on six feeling options by sixty Japanese individuals 2. It can be downloaded from the link http://www.mis.atr.co.jp/˜mlyons/jaffe.html.