Retina based biometric identification using SURF and ORB feature descriptors

Haware, Shalaka; Barhatte, Alka

doi:10.1109/icmdcs.2017.8211697

Cited by 14 publications

(19 citation statements)

References 7 publications

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“…FAR = 0.0%, FRR = 1.19% and ERR = 0.59% [48] Iris [49][50][51] Classification accuracy higher than 99.9%. FAR = 0,00001%, FRR = 0.1% [52] Retina [53,54] The true acceptance rate 98.148% [55] Face [56,57] FAR = 0,1%, FRR = 7% [52] Keystroke dynamics [58][59][60] Classification accuracy 92.60% [61] Signature dynamics [62,63] Average FAR = 5.125%, FRR = 5.5%, AER = 5.31% [64] Speech [65][66][67] Classification accuracy up to 99%. EER = 1% [68] The analysis of the presented values of the accuracy of authentication does not allow us to speak of a single use of features, however, it makes relevant their use within multimodal authentication (for example, face + iris [69], face and vein arrangement on finger, fingerprint, and voice [70], complex parameters of fingers and palms [71,72]) and the construction of ensembles of various types [73,74].…”

Section: Biometric Characteristic Papers Resultsmentioning

confidence: 99%

Information Security Methods—Modern Research Directions

et al. 2019

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In Tomsk University of Control Systems and Radioelectronics (TUSUR) one of the main areas of research is information security. The work is carried out by a scientific group under the guidance of Professor Shelupanov. One of the directions is the development of a comprehensive approach to assessing the security of the information systems. This direction includes the construction of an information security threats model and a protection system model, which allow to compile a complete list of threats and methods of protection against them. The main directions of information security tools development are dynamic methods of biometrics, methods for generating prime numbers for data encryption, steganography, methods and means of data protection in Internet of Things (IoT) systems. The article presents the main results of research in the listed areas of information security. The resultant properties in symmetric cryptography are based on the properties of the power of the generating functions. The authors have obtained symmetric principles for the development of primality testing algorithms, as discussed in the Appendix.Symmetry 2018, 10, x FOR PEER REVIEW 3 of 33 Ported to AMR system devices, IPsec ensures mutual authentication of network devices using the IKEv2 protocol. Optionally, the network can be configured based on the EAP-PSK protocol. During configuration, the devices receive network addresses and authentication keys, at which point the execution of EAP-PSK is stopped and data is transferred via IPsec. Another option is to use pre-installed certificates on the devices. In this case, the initial configuration is done manually, but the network does not require EAP-PSK to be used.Data integrity control and encryption during transmission are provided by ESP, which is the protocol used in IPsec at the transport level. This protocol ensures the security of both the data transmitted and packet headers at the network level.This approach makes it possible to ensure reliable authentication of the AMR system devices and the security of the data to be transmitted and opens a wide range of options for the configuration of network operation; however, it cannot be used in networks with heterogeneous communication channels. The EAP-PSK-based approach offers less flexibility but is suitable for networks with heterogeneous communication channels. For an AMR system, a list of threats was proposed based on the developed methodology. Threats to the confidentiality of the system are threats related to the collection of information about the system. This can be a list of devices, software versions, authentication data, access control policies, network addresses, interaction protocols, etc. Threats to the integrity of the automated system for commercial accounting are: substitution of an object, substitution of a communication channel, deletion of an object, destruction of a communication channel, addition of an unauthorized object, creation of an unauthorized communication channel; change of communication channel or object settings...

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Section: Biometric Characteristic Papers Resultsmentioning

confidence: 99%

Information Security Methods—Modern Research Directions

et al. 2019

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“…Metode Speed Up Robust Feature (SURF) merupakan salah satu metode yang digunakan untuk mengekstraksi ciri dari sebuah citra. Metode SURF telah banyak digunakan untuk mengekstraksi ciri dari sebuah citra untuk kebutuhan identifikasi [1]- [6].…”

Section: Pendahuluanunclassified

Metode SURF dan FLANN untuk Identifikasi Nominal Uang Kertas Rupiah Tahun Emisi 2016 pada Variasi Rotasi

Priadana

Murdiyanto

2019

Jurnal Teknologi dan Sistem Komputer

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In December 2016, Bank Indonesia (BI) officially launched the 2016 Year Emission Rupiah. With the development of technology, the process of buying and selling are not only possible between humans and humans, but humans with a machine. In addition, the machine must also be able to read and recognize the nominal banknotes in various variations of face and rotation. This is because humans can put money in machines with various variations of face and rotation. This study aims to apply and analyze the level of accuracy of nominal rupiah banknotes identification with the SURF and FLANN methods for rotation variation. Testing for identification of nominal rupiah banknotes is carried out with different rotation variations, namely 0o, 90o, 180o, and 270o. The proposed identification method provides 100% of accuracy.

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“…Examples include a fingerprint scanner in [10], such a system is reported to achieve false rejection rate (FRR) less than 4.12% when restricting the false acceptance rate (FAR) to 0.01%. Another biometric-based identification scheme is the retina scanners in [11], which achieves a 0% FAR and 1.85% FRR. These systems recognise the user through their body, removing the risk of stolen data or keys, as well as the risk of a password being guessed.…”

Section: Introductionmentioning

confidence: 99%

On the Design and Analysis of a Biometric Authentication System Using Keystroke Dynamics

Cockell

Halak

2020

Cryptography

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this paper proposes a portable hardware token for user's authentication; it is based on the use of keystroke dynamics to verify users biometrically. The proposed approach allows for a multifactor authentication scheme, in which a user cannot be granted access unless they provide a correct password on a hardware token and their biometric signature. The latter is extracted while the user is typing their password. This paper explains the design rationale of the proposed system and provides a comprehensive insight in the development of a hardware prototype of the same. The paper also presents a feasibility study that included a systematic analysis based on training data obtained from 32 users. Our results show that dynamic keystroke can be employed to construct a cost-efficient solution for biometric user authentication with an average error rate of 4.5%

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Retina based biometric identification using SURF and ORB feature descriptors

Cited by 14 publications

References 7 publications

Information Security Methods—Modern Research Directions

Information Security Methods—Modern Research Directions

Metode SURF dan FLANN untuk Identifikasi Nominal Uang Kertas Rupiah Tahun Emisi 2016 pada Variasi Rotasi

On the Design and Analysis of a Biometric Authentication System Using Keystroke Dynamics

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