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1 – 2 of 2Anil Kumar Gona and Subramoniam M.
Biometric scans using fingerprints are widely used for security purposes. Eventually, for authentication purposes, fingerprint scans are not very reliable because they can be…
Abstract
Purpose
Biometric scans using fingerprints are widely used for security purposes. Eventually, for authentication purposes, fingerprint scans are not very reliable because they can be faked by obtaining a sample of the fingerprint of the person. There are a few spoof detection techniques available to reduce the incidence of spoofing of the biometric system. Among them, the most commonly used is the binary classification technique that detects real or fake fingerprints based on the fingerprint samples provided during training. However, this technique fails when it is provided with samples formed using other spoofing techniques that are different from the spoofing techniques covered in the training samples. This paper aims to improve the liveness detection accuracy by fusing electrocardiogram (ECG) and fingerprint.
Design/methodology/approach
In this paper, to avoid this limitation, an efficient liveness detection algorithm is developed using the fusion of ECG signals captured from the fingertips and fingerprint data in Internet of Things (IoT) environment. The ECG signal will ensure the detection of real fingerprint samples from fake ones.
Findings
Single model fingerprint methods have some disadvantages, such as noisy data and position of the fingerprint. To overcome this, fusion of both ECG and fingerprint is done so that the combined data improves the detection accuracy.
Originality/value
System security is improved in this approach, and the fingerprint recognition rate is also improved. IoT-based approach is used in this work to reduce the computation burden of data processing systems.
Details
Keywords
Elsa Varghese, Meena Galliara and Manjari Srivastava
Social entrepreneurship, Social enterprise.
Abstract
Subject area
Social entrepreneurship, Social enterprise.
Study level/applicability
Masters Programme in Social Entrepreneurship, Social Work, Business Administration; Management Development Programme for Social Entreprenuers.
Case overview
Organisation for Social Change, Awareness and Responsibility (OSCAR) Foundation is a non-profit organisation registered in 2010 under the Bombay Public Trust Act, 1950. Born and raised in the slum colony of Ambedkar Nagar, Cuffe Parade, Ashok, the founder, grew up seeing his friends becoming a victim to many socially inappropriate behaviours due to dropping out of school. Inspired by the thought of breaking this vicious cycle, Ashok used football as a mechanism to instil essential life skills among children and youth and encouraged them to continue their education. The success of his pilot motivated him to set up OSCAR. Presently, through its various programmes, the organisation has reached out to more than 3,000 marginalised children and 500 youths and aims to reach out to 20,000 children by 2020. The case highlights the struggles of Ashokâs entrepreneurial journey and maps the new challenges in scaling up his enterprise.
Expected learning outcomes
The expected learning outcomes are as follows: to identify the characteristics of a social entrepreneur and ascertain the leadership skills required by a social entrepreneur; to scrutinise the life cycle of a social enterprise and develop insights to examine the unique risks and challenges faced at the start-up phase of the social enterprise; and to enhance the understanding of interrelationship between passion, mission focus and challenges to attain financial sustainability for a social venture.
Supplementary materials
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Subject code
CSS 3: Entrepreneurship.
Details