Efficient Iris-Region Normalization for a Video Surveillance System

Kim, Jin Ok; Joung, Bong Jo; Chung, Chin Hyun; Hwang, Jun

doi:10.1007/11527725_39

Cited by 1 publication

(1 citation statement)

References 6 publications

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“…The image acquisition is performed by a webcam (Figure 4). The webcam is equipped with built in LEDs for lighting (in the visible spectrum), this system of lighting can not be used because the human eye is embarrassed and also the light in the visible spectrum negatively affects the acquisition due to reflections that occur (Kim, 2005). The camera was modified by replacing the existing LEDs with IR LEDs, which has triggered also the need to modify the lens, which contains an IR filter that cancels the effect of the IR LEDs; this IR filter was removed and replaced with one filtering the visible light.…”

Section: The Hardware Architecturementioning

confidence: 99%

MOBILE IRIS RECOGNITION SYSTEM - A Low Cost Approach

2011

Proceedings of the 1st International Conference on Pervasive and Embedded Computing and Communication Systems

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Nowadays biometric data acquisition and processing systems for person identity verification and / or identification are increasingly used (both in military applications-person identification in military operations and war theatres, but also in civilian applications-mobile employee enrolment and accounting systems). Such systems and especially mobile biometric iris recognition systems are expensive and also brings big security issues (loosing such a mobile device can expose the company or can break the cover of a military operation by exposing personal identification data of agents or informants). This paper presents a functional architecture of a mobile, low cost system for biometric iris data type acquisition and processing for personal identity verification. The particularity of this system is that it is a low cost, but in the same time offers an acceptable performance and security level. The paper presents the hardware and software architecture, but also shows how the device is connected with other systems in order to obtain processing and storage capacity for the recognition process. The paper is structured on three chapters presenting the hardware components, the software tools and programs, the connectivity and security issues, and ends with some experimental data and conclusions.

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Section: The Hardware Architecturementioning

confidence: 99%

MOBILE IRIS RECOGNITION SYSTEM - A Low Cost Approach

2011

Proceedings of the 1st International Conference on Pervasive and Embedded Computing and Communication Systems

View full text Add to dashboard Cite

show abstract

Efficient Iris-Region Normalization for a Video Surveillance System

Cited by 1 publication

References 6 publications

MOBILE IRIS RECOGNITION SYSTEM - A Low Cost Approach

MOBILE IRIS RECOGNITION SYSTEM - A Low Cost Approach

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