Periocular biometrics

  • What are the features of periocular region?

    The term “periocular” has been used to refer to the region surrounding an eye consisting of eyelids, eyelashes, eye-folds, eyebrows, tear duct, inner and outer corner of an eye, eye shape, and skin texture (Fig. 1)..

  • What are the two types of biometric authentication?

    There are two types of biometric systems: physical biometrics and behavioral biometrics..

  • What is periocular biometrics?

    Periocular is one of the promising biometric traits for human recognition.
    It encompasses a surrounding area of eyes that includes eyebrows, eyelids, eyelashes, eye-folds, eyebrows, eye shape, and skin texture..

  • What is periocular recognition?

    Definition.
    Periocular-based biometrics refers to the automatic recognition or classification of an individual based upon features extracted from the area of the face which surrounds the eye..

  • What is the periocular region of the face?

    Periocular region is the feature rich region around the eye which may include features like eyelids, eyelashes, eyebrows, tear duct, eye shape, skin texture and many more..

  • Biometrics involves the study of approaches and algorithms for uniquely recognizing humans based on physical or behavioral cues.
    Traditional approaches are based on fingerprint, face, iris, and can be classified as physiological biometrics, that is, they rely on physical attributes for recognition.
  • Definition.
    Periocular-based biometrics refers to the automatic recognition or classification of an individual based upon features extracted from the area of the face which surrounds the eye.
  • The objective of biometric recognition by a biometric system is to make a person distinguishable from others by means of automated measurement through a specific characteristic.
    To achieve this, it must (in contrast from forensics) automatically recognise a living individual in real time.
  • There are two types of biometric systems: physical biometrics and behavioral biometrics.
  • While there are many types of biometrics for authentication, the five most common types of biometric identifiers are: fingerprints, facial, voice, iris, and palm or finger vein patterns.
    The types of biometrics can be grouped into two main categories: physiological biometrics and behavioral biometrics.
Keshari et al. (2016) implemented the concept of periocular biometrics for matching the images captured before and after cataract surgery of human eyes. They 
Periocular biometric refers to the facial region in the immediate vicinity of the eye. Acquisition of the periocular biometric does not require high user cooperation and close capture distance unlike other ocular biometrics (e.g., iris, retina, and sclera).
Periocular biometric refers to the facial region in the immediate vicinity of the eye. Acquisition of the periocular biometric does not require high user cooperation and close capture distance unlike other ocular biometrics (e.g., iris, retina, and sclera).
Periocular biometrics has been established as an independent modality due to concerns on the performance of iris or face systems in uncontrolled conditions. Periocular refers to the facial region in the eye vicinity, including eyelids, lashes and eyebrows.
Periocular is one of the promising biometric traits for human recognition. It encompasses a surrounding area of eyes that includes eyebrows, eyelids, eyelashes, eye-folds, eyebrows, eye shape, and skin texture.
This paper provides a state-of-the-art survey of existing literature (from the year 2009 to 2018) on Periocular biometrics. This work can also be considered as 

Does periocular region support face and Iris biometric?

Periocular region can be considered as a very promising trait both as a single modality and as a support for face and iris biometric.
Periocular region achieved better result in many cases where face biometric suffers from different constraints like pose, illumination variation, occlusion and aging effect.

Is age invariant face recognition based on periocular biometrics?

Investigating age invariant face recognition based on periocular biometrics 2011 International Joint Conference on Biometrics (IJCB), IEEE ( 2011), pp. 1 - 7, 10.1109/IJCB.2011.6117600 Hallucinating the full face from the periocular region via dimensionally weighted K-SVD .

Is periocular biometry a good choice for soft biometric classification?

In literature, periocular biometry is primarily used for gender, ethnicity and race classification and SVM as a classifier is consider as a good choice for soft biometric classification.
Table 9 outline the performance of periocular biometrics in soft biometric classification.
Table 9.

Is periocular region a biometric trait?

Park et al. (2009) were the first researchers who analysed the feasibility of periocular region as a biometric trait.


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