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Conference Paper
Design of an Embedded Multimodal Biometric System
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- Authors
- Jang-Hee Yoo, Jong-Gook Ko, Yun-Su Chung, Sung-Uk Jung, Ki-Hyun Kim, Ki-Young Moon, Kyoil Chung
- Issue Date
- 2007-12
- Citation
- International Conference on Signal Image Technologies and Internet Based System (SITIS) 2007, pp.1058-1062
- Language
- English
- Type
- Conference Paper
- Project Code
- 07MK2400, Development of Privacy Enhanced Biometric System, Moon Ki Young
- Abstract
- The embedded devices in biometrics have gained increasing attention due to the demand for reliable and cost-effective personal identification systems. However, the current available embedded devices are not suitable for the real-time implementation of a biometric application system because of the limited computational resource and memory space. In this paper, we describe the design of embedded biometric systems that identify person by using face-fingerprint or iris-fingerprint multimodal biometrics technology. To implement real-time system, the biometric algorithms are efficiently enhanced for fixed-point representation and optimized for memory and computational capacity. In addition, the most time consuming components of each biometric algorithm are implemented in a Field Programmable Gate Arrays (FPGA). ©2008 IEEE.
- KSP Keywords
- Application System, Computational capacity, Embedded Devices, Field Programmable Gate Arrays(FPGA), Fixed-point, Identification system, Memory space, Multimodal Biometric System, Personal identification, Point representation, Real-Time Implementation