Lee, Y. H. and Khalil-Hani, M. and Bakhteri, R. and Nambiar, V. P. (2017) A real-time near infrared image acquisition system based on image quality assessment. Journal of Real-Time Image Processing, 13 (1). pp. 103-120. ISSN 1861-8200
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Abstract
This paper presents a real-time image acquisition system with an improved image quality assessment module to acquire high-quality near infrared (NIR) images. Thermal imaging plays a vital role in a wide range of medical and military applications. The demand for high-throughput image acquisition and image processing has continuously increased especially for critical medical and military purposes where executions under real-time constraints are required. This work implements an NIR image quality assessment module, which utilizes improved two-dimensional entropy and mask-based edge detection algorithms. The effectiveness of the proposed image quality assessment algorithms is demonstrated through the implementation of a complete finger-vein biometric system. The proposed model is implemented as an embedded system on a field programmable gate array prototyping platform. By including the image quality assessment module, the proposed system is able to achieve a recognition accuracy of 0.87 % equal error rate, and can handle real-time processing at 15 frames/s (live video rate). This is achieved through hardware acceleration of the proposed image quality assessment algorithms via a novel streaming architecture.
Item Type: | Article |
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Uncontrolled Keywords: | Finger-vein, Image quality assessment |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Electrical Engineering |
ID Code: | 76542 |
Deposited By: | Fazli Masari |
Deposited On: | 30 Apr 2018 13:30 |
Last Modified: | 30 Apr 2018 13:30 |
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