Fast palmprint retrieval using speed up robust features

G Kiran Kumar; D Malathi Rani; E Guru Mohan Rao

doi:10.17485/IJST/v13i31.404

Article

Fast palmprint retrieval using speed up robust features

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Indian Journal of Science and Technology

DOI: 10.17485/IJST/v13i31.404

Year: 2020, Volume: 13, Issue: 31, Pages: 3204-3212

Original Article

Fast palmprint retrieval using speed up robust features

G Kiran Kumar^1*, D Malathi Rani², E Guru Mohan Rao³

¹Professor, Department of Information Technology, MLR Institute of Technology, Hyderabad, 500043, India
²Assistant Professor, ECE Department, Marri Laxman Reddy Institute of Technology and
Management, Hyderabad, 500043, India
³Assistant Professor, Department of Information Technology, MLR Institute of Technology,
Hyderabad, 500043, India

^*Corresponding author
Email: [email protected]

Received Date:28 April 2020, Accepted Date:22 July 2020, Published Date:28 August 2020

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Background/Objective: Biometric usage is increasing in exponential series in all organisations for multiple purposes like employee attendance, Aadhaar based authentication and secure login using finger print etc. This biometric process should be as quick as possible without making much delay to retrieve the respective finger print. So an efficient quick retrieval procedure is required, in this regards a fast retrieval method for palm prints is proposed in this article. Method: This method uses Speed up Robust Features (SURF) and an efficient look up table for fast retrieval of palm prints. A key is computed for each palmprint by matching with a pre-selected palmprint called representative. This key is used, to place the palmprint into the look up table like traditional database record. To identify a query palmprint, key is computed and selects a set of palm prints from the look up table which are having similar key as possible matches. Findings: This proposed solution is experimented with multiple representative images to check the improved performance. As an outcome we could achieve better hit rate by comparing with existing systemNovelty:. This proposed method makes the new palm prints dynamically without disturbing the current records in the system. The entire solution is experimented on benchmark PolyU palmprint database of 7,753 images and significant performance is shown in results. This proposed solution shows better results with respect to hit rate and miss rate.

Keywords: Palmprint; index key; SURF; similarity score; representative

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Copyright

2020 Kiran Kumar et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee).