Periocular Biometrics for Human Recognition

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As statistics become additional rife in society, the analysis space is antic- ipated to deal with an ever widening field of issues and conditions. Ancient biometric modalities and approaches area unit reaching a state of maturity, and their limits area unit clearly outlined. Since the requirements of a biometric computer user would possibly extend on the far side those limits, new modalities and techniques should address such considerations. The goal of the work presented here is to explore the periocular region, the region close the attention, and evaluate its usability and limitations in addressing these considerations. First, a study of the periocular region was performed to look at its impracticable in addressing issues that have an effect on ancient face- and iris- based biometric systems. Second, the body of the periocular region was analyzed to see the types of options found there and the way they influence the performance of a biometric recognition system. Third, the employment of native look based mostly approaches in periocular recognition was explored. Lastly, the knowledge gained from the previous experiments was accustomed develop a unique feature representa- tion technique that's specific to the periocular region. This work is critical be-cause it provides a unique analysis of the options found within the periocular region and pro- duces a feature extraction technique that resulted in higher recognition performance over ancient techniques.