A Real Time Embedded Finger Vein Recognition System for Authentication on Mobile Devices

N Venkata Vara Prasad; K Venkata Murali Mohan

doi:https://doi.org/10.14445/22315381/IJETT-V8P220

Research Article | Open Access | Download PDF

Volume 8 | Number 1 | Year 2014 | Article Id. IJETT-V8P220 | DOI : https://doi.org/10.14445/22315381/IJETT-V8P220

A Real Time Embedded Finger Vein Recognition System for Authentication on Mobile Devices

N Venkata Vara Prasad , K Venkata Murali Mohan

Citation :

N Venkata Vara Prasad , K Venkata Murali Mohan, "A Real Time Embedded Finger Vein Recognition System for Authentication on Mobile Devices," International Journal of Engineering Trends and Technology (IJETT), vol. 8, no. 1, pp. 105-108, 2014. Crossref, https://doi.org/10.14445/22315381/IJETT-V8P220

Abstract

In this project, we propose a real-time embedded finger-vein recognition system (FVRS) for authentication on mobile devices. The system is implemented on an embedded platform and equipped with a novel finger-vein recognition algorithm. The proposed system consists of four hardware modules. Finger vein recognition device [1], image acquisition module [2], controller board [3], and human and machine communication module [4]. Finger vein recognition module will start the very initial communication between the user and the device. The image acquisition module is used to collect finger-vein images. The Embedded main board including the Microcontroller chip, memory (flash), and communication port is used to execute the finger-vein recognition algorithm and communicate with the peripheral device. The human machine communication module (LED) is used to display recognition results.

Keywords

Finger vein sensor, Controller board and image acquisition.

References

[1]. Desong wang, “user identification based on finger-vein patterns for consumer electronics devices,” IEEE paper.
[2]. Mulyona D, Jinn HS. ,” A study of finger vein biometric for personal identification.” International symposium on Biometrics and Security technologies 2008.
[3]. A.K.Jain, A. Ross, “An Introduction to Biometrics Recognition,” IEEE Transactions on Circuits and systems.
[4]. Zhang W, Wang Y (2002) Core-based structure matching algorithm of fingerprint verification. In: Proceedings of the IEEE international conference on pattern recognition, 1:70–74
[5]. Montesinos P, Alquier L (1996) Perceptual organization of thin networks with active contour functions applied to medical and aerial images. In Proceedings of ICPR’96, Vienna, Austria, pp 25–30
[6]. Jain AK, Ross A, Pankanti S (1999) A prototype hand geometry-based verification system. In: Proceedings of the 2nd international conference on audio- and video-based biometric person authentication. Washington DC, pp 166–171
[7]. S. Peleg and J. Naor, “Multiple resolution texture analysis and classification”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.6, no.4, pp.518- 523, 1984.