CMBA - A CANDID MULTI-PURPOSE BIOMETRIC APPROACH

Abstract
All humans are born with unique physically identified body characteristics to other persons which remains unchanged throughout life. These characteristics are taken into account by the emerging technology to get recognized from person to person. The technology used by the traditional human identification system sometimes becomes inefficient when data or images received are not up to the acceptable quality mark or when a person has a face covered with mask-like during epidemic virus fistula. In order to overcome the human recognition challenges, a Candid Multi-purpose Biometric Approach (CMBA) has been proposed which can make human identification easier and approachable. The CMBA human recognition approach uses two uniquely identified modalities such as foot and iris. This approach shrewdly identifies and makes the bodacious recognition among humans and suggests the sagacious result which is foremost better than the traditional biometric system. The CMBA is offering opportunity to take more than two biometric features, by combining them to overcome unimodal biometric system ?limitations and to achieve optimal results.? Using sagacious edge detector and Hough transformation technique, the Iris and foot part are segmented into easy and quick extraction voting system which produce succulent output. In fact, this technique is new in biometric identification era.

Authors
Sehrish Saleem1, Shahzad Ashraf2, Muhammad K Basit3
Muhammad Nawaz Sharif University of Engineering and Technology, Pakistan1,3, Hohai University, Changzhou Campus, China2

Keywords
Biometric System, Face Recognition, Modalities, Face Mask
Published By :
ICTACT
Published In :
ICTACT Journal on Image and Video Processing
( Volume: 11 , Issue: 1 )
Date of Publication :
August 2020
DOI :

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