Use of Periocular Biometric in Face Recognition
Arun Goel1, Alka Jindal2
1Arun Goel, Department of Computer Science & Engineering, Punjab Engineering College, Chandigarh, India.
2Alka Jindal, Department of Computer Science & Engineering, Punjab Engineering College, Chandigarh, India.
Manuscript received on 08 August 2019 | Revised Manuscript received on 14 August 2019 | Manuscript Published on 26 August 2019 | PP: 912-917 | Volume-8 Issue-9S August 2019 | Retrieval Number: I11470789S19/19©BEIESP | DOI: 10.35940/ijitee.I1147.0789S19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Biometrics is a technology to identify people based on their physical and behavioral traits. Enhancement in the field of biometrics have led to development of a trait that is non intrusive, widely acceptable and can be captured remotely with effective features. Face biometric is widely used trait all over world. Due to less efficiency of face biometric in non cooperative environment, researchers suggest to use a sub region of face that is more effective. Periocular biometric is region surrounding the eyes having modalities including eyebrows, eyelashes, eyelids, tear duct and skin texture. This paper explores use of periocular region and its modalities in face recognition including periocular databases and its use in future for various applications.
Keywords: Wyebrow, Eyelash, Eyelid, Face, Periocular, Skin Texture, Tear Duct.
Scope of the Article: Computer Science and Its Applications