Optimized Periocular Template Selection for Human Recognition
Table 1
Comparison of biometric traits present in human face.
Trait
Advantages
Possible challenges
Iris
High-dimensional feature can be extracted, difficult to spoof, permanence of iris, secured within eye folds, and can be captured in noninvasive way
Yields accuracy in NIR images than VS images, cost of NIR acquisition device is high, low recognition accuracy in unconstrained scenarios, low recognition accuracy for low resolution, occlusion due to use of lens, eye may close at the time of capture, do not work for keratoconus and keratitis patients
Face
Easy to acquire, yields accuracy in VS images, most available in criminal investigations
Not socially acceptable for some religions, full face image makes database large, variation with expression and age
Periocular
Can be captured with face/iris region without extra acquisition cost
Can be occluded by spectacle, less features in case of infants
Lip
Existence of both global and local features
Difficult to acquire, less acceptable socially, shape changes with human expression
Ear
Easy segmentation due to presence of contrast in the vicinity
Difficult to acquire and can be partially occluded by hair