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Conference Paper Design of Embedded Multimodal Biometric Systems
Cited 14 time in scopus Share share facebook twitter linkedin kakaostory
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
DOI
https://dx.doi.org/10.1109/SITIS.2007.130
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 Array(FPGA), Identification system, Memory space, Multimodal Biometric System, Personal identification, Point representation, Real-Time Systems, cost-effective