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Multi-resolution texture analysis for fingerprint based age-group estimation

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Abstract

In this paper the possibility of using digital fingerprints to estimate age-groups of human being, particularly children is investigated. To our knowledge, age-group estimation in humans, using digital fingerprints have not been addressed formally. Age-group estimation can be applied in many areas like on-line child protection, access control and customized internet services etc. Motivated by the fact that human digital fingerprint vary in texture as the person ages, a multi-resolution texture approach for automatic age-group estimation has been presented in this paper. Three standard classifiers were used to judge the accuracy of the proposed method. In the process of this research study, a novel method for digital fingerprint reference point generation was developed, which provides reference point for very poor quality images also. The proposed reference point generation method is compared with core-point method using FG-NET DB1 dataset. Experimental results proves that a digital fingerprint can be used to identify age-groups, particularly children. A classification accuracy of 80 percent was achieved for children below the age of 14 by using the aforesaid method.

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Acknowledgments

This work is supported by grant provided by Government of India, Ministry of Human Resource Development, Department of Higher Education, Technical Section-II, New Delhi (F.No. 25-2/2010-TS.II).

Authors would like to extend their thanks to principals of VBPS, Kendriya Vidyalaya and MVM inter college for allowing volunteers to collect fingerprint database from their wards.

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  1. Indian Institute of Information Technology, Allahabad, India

    Aditya K. Saxena & Vijay K. Chaurasiya

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  1. Aditya K. Saxena
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Saxena, A.K., Chaurasiya, V.K. Multi-resolution texture analysis for fingerprint based age-group estimation. Multimed Tools Appl 77, 6051–6077 (2018). https://doi.org/10.1007/s11042-017-4516-1

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