Palm Vein Authentication Based on the Coset Decomposition Method

Sayed, Mohamed

doi:10.4236/jis.2015.63020

Cited by 7 publications

(6 citation statements)

References 17 publications

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“…Our approach also enables the use of low-cost sensors or even wireless biometric systems. For the used segmentation process and feature vectors extraction strategies the reader is referred to the literature [26] [27]. The LDPC code (with appropriate dimension), together with its standard generated matrix, was taken as the decoding strategy and proved to achieve optimal performance in terms of templates matching.…”

Section: Resultsmentioning

confidence: 99%

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Grobner Bases Method for Biometric Traits Identification and Encryption

Sayed¹

2015

JIS

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Biometric identification systems are principally related to the information security as well as data protection and encryption. The paper proposes a method to integrate biometrics data encryption and authentication into error correction techniques. The normal methods of biometric templates matching are replaced by a more powerful and high quality identification approach based on Grӧbner bases computations. In the normal biometric systems, where the data are always noisy, an approximate matching is expected; however, our cryptographic method gives particularly exact matching.

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Section: Resultsmentioning

confidence: 99%

“…In [26] [27] we showed that the biometric imprint (for security reason) is stored in encrypted binary form instead of plain-text. The biometric authentication device should agree access as long as two (enrolled and identified) biometric feature vectors do not differ by more than a definite amount of bits (the threshold).…”

Section: Biometric Matching Algorithmmentioning

confidence: 99%

Grobner Bases Method for Biometric Traits Identification and Encryption

Sayed¹

2015

JIS

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“…Palm Vein Authentication (PVA), is a digital security technique that uses an individual vein pattern as personal authentication and identification data [14]. The research work outlined in this paper investigates the possibility of introducing Palm Vein Authentication to enhance e-commerce applications in developing countries focusing on Nigeria.…”

Section: Introductionmentioning

confidence: 99%

“…Palm Vein Identification uses the unique internal vein pattern of the palm as a transactional authentication method. Its benefits are uniqueness, difficult to forge, secure and reliable [14], [15]. This method will help citizens of Nigeria and other developing countries since vein of the palm cannot be easily damaged due to dryness and by citizens engaging in hard labour using the hands.…”

Section: Introductionmentioning

confidence: 99%

Contactless Palm Vein Authentication Security Technique for Better Adoption of e-Commerce in Developing Countries

Alabi

White

Beloff

2020

Advances in Intelligent Systems and Computing

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E-commerce has contributed immensely to the economies of developed countries and a factor in its success can be attributed to the adoption of e-commerce by their citizens. As such, it is perceived that ecommerce can also be an economic driver for developing countries. However, security has been identified as a major barrier that prevents citizens from adopting e-commerce in developing countries. Therefore, this paper examines Security Authentication Techniques (SAT), particularly Digital Signature (DS) and Digital Fingerprint Systems (DFS), including the limitations of these two security techniques, and then proposes Contactless Palm Vein Authentication (CPVA) as a potentially much better solution to increase adoption of e-commerce in developing countries. The architecture of this new CPVA technique is discussed in relation to Security, Privacy, Trust and Reliability. Participants are treated to a Design Fiction Documentary (DFD) and Design Fiction Simulation Experiment (DFSE) in our experimental design method to measure the potential Technology Acceptance (adoption) of the proposed CPVA technique over DS and DFS authentication techniques. The result of our pilot study indicates that citizens may be willing to adopt the proposed CPVA technique, which may increase their trust and likely adoption of more e-commerce applications. A larger main study is planned in the field in Nigeria starting January 2020.

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“…These systems identify a person by calibrating the authenticity of specific physiological or behavioral characteristics possessed by that person. The physiological characteristics are the physical human traits in particular hand shape, facial recognition, fingerprints, iris scans, ear shapes, skin reflection, finger vein patter recognition and palm vein images, see for example (Xi et al, 2013), (Sayed, 2015a;2015b). The behavioral characteristics of human beings are the way to sign their names, manner of walk, speech patterns, lips motion and keystroke dynamics (Yang, 2010).…”

Section: Introductionmentioning

confidence: 99%

Biometric Gait Recognition Based on Machine Learning Algorithms

Sayed¹

2018

Journal of Computer Science

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Abstract:It is crucial to find methods that analyze large amount of data captured by cameras and/or various sensors installed all around us. Machine learning becomes a prevailing tool in analyzing such data that signifies behavioral characteristics of human beings. Gait as an identifier for use in individual recognition systems has respective and almost certainly unique key features for each person including centroid, cycle length and step size. Gait is sometimes preeminent suited to recognition or surveillance scenarios. It might be used in the identification of females who are wearing veils in some countries without critical social issues. The objective of this project is to predict accurately one-dimensional coordinates of normalized n-component vectors representing twodimensional silhouettes in order to identify individuals at a distance without any interaction and obtrusion. Varied algorithms are further incorporated into walk pattern analysis to adoptively improve gait recognitions and classification. The results are reported reasonable identification performance as compared to several machine learning methods.

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Palm Vein Authentication Based on the Coset Decomposition Method

Cited by 7 publications

References 17 publications

Grobner Bases Method for Biometric Traits Identification and Encryption

Grobner Bases Method for Biometric Traits Identification and Encryption

Contactless Palm Vein Authentication Security Technique for Better Adoption of e-Commerce in Developing Countries

Biometric Gait Recognition Based on Machine Learning Algorithms

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