Environmental Impact on Biometric Traits and Methods to Improve Biometric Recognition System

P, Thejaswini; Srikantaswamy, R.; Manjunatha, A.

doi:10.3850/978-981-09-6200-5_32

Cited by 2 publications

(1 citation statement)

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“…Any variations in the captured fingerprint image will affect the quality leading to poor matching with the stored reference fingerprint image which in turn fails to recognize the same person's identity [4] [10] [12], leading to the false rejection of the genuine user/subject. [3].…”

Section: Introductionmentioning

confidence: 99%

An Adaptive Algorithm Based Authentication System for Real-Time Biometric Time-Attendance System

P.¹

2021

ITII

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Biometric features are physical and biological characteristics that are unique to a person and can be used to accomplish authentication based on the particular modality. The main purpose of implementation of an Adaptive auto-correction technique for biometric time-attendance system is to improve the matching rate of fingerprint verification under the condition when fingerprint patterns vary due to environmental parameter like temperature. An Adaptive auto-correction technique is proposed which auto-corrects the reference fingerprint template at the time of genuine user rejection. The proposed technique is implemented on commercially available biometric device which uses Innovatrics, a standard commercially available extractor and matcher. Evaluation is carried out on 250 fingerprint templates of 10-users captured at varying temperature from 250C to 00C. The experimental analysis will be carried out to improve the recognition rate.

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Section: Introductionmentioning

confidence: 99%