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Age Group Estimation from Human Iris

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Soft Computing and Signal Processing (ICSCSP 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1118))

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Abstract

The paper presents the approach to determine the age group of a person from an iris structure using less number of features. The performance of a proposed method is evaluated based on five different classifiers. Our methodology improves on earlier methods in terms of classification accuracy and F1 score. The study also proved that human iris structure has age-related information and therefore can be used to predict age. The existing iris biometric systems can be advanced with this method if they show an age in spite of just accepting or rejecting a person.

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Acknowledgements

Authors would like to acknowledge and thanks to UGC SAP (II) DRS Phase-I and Phase-II F. No. 3-42/2009 and 4-15/2015/DRS-II for KVKRG_Iris database and support to this work and the department of computer science and information technology, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, Maharashtra, India.

Declaration Authors declare that they have taken the due permission to use the image of the person in the paper, and hence, if any litigation arises in the future, authors are solely responsible.

Author information

Authors and Affiliations

  1. NIELIT, Dr. B.A.M. University, Aurangabad, MH, India

    Minakshi R. Rajput

  2. Maharashtra Institute of Technology, Dr. B.A.M. University, Aurangabad, MH, India

    Ganesh S. Sable

Authors
  1. Minakshi R. Rajput
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  2. Ganesh S. Sable
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Editor information

Editors and Affiliations

  1. Department of ECE, Malla Reddy College of Engineering and Technology, Hyderabad, Telangana, India

    V. Sivakumar Reddy

  2. Department of CSE, Jawaharlal Nehru Technological University Hyderabad, Hyderabad, Telangana, India

    V. Kamakshi Prasad

  3. Department of Computer Science and Software Engineering, Monmouth University, West Long Branch, NJ, USA

    Jiacun Wang

  4. Department of ECE, Sir Visvesvaraya Institute of Technology, Nashik, Maharashtra, India

    K. T. V. Reddy

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Rajput, M.R., Sable, G.S. (2020). Age Group Estimation from Human Iris. In: Reddy, V., Prasad, V., Wang, J., Reddy, K. (eds) Soft Computing and Signal Processing. ICSCSP 2019. Advances in Intelligent Systems and Computing, vol 1118. Springer, Singapore. https://doi.org/10.1007/978-981-15-2475-2_48

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