Title:

Distributed  Arithmetic Coding and its Application to Biometric Authentication

Lecturer:

Prof. FANG Yong

Time:

15:00, April  1, 2016

Venue:

J205, North Campus

Lecturer  Profile

Yong Fang  received his BEng, MEng, and PhD degrees from the School of Telecommunications  Engineering, Xidian University, Xi’an, China, in 2000, 2003, and 2005,  respectively. Then he was a lecturer/postdoc-fellow for one year in the School  of Electronics & Information Engineering, Northwestern Polytechnic  University (NWPU), Xi’an, China. From 2007 to 2008, he joined the Department of  Electrical & Computer Engineering (ECE), Hanyang University (HYU), Seoul,  Korea, as a research professor. He is currently a full professor with the  College of Information Engineering (CIE), Northwest A&F University (NWAFU),  Yangling, Shaanxi, China. From Mar. 2015 to Sep. 2015, he visited University of  Waterloo, Canada as a Senior Visiting Fellow. His research interests include  information theory, coding technique and theory, pattern recognition,  compressive sensing, bioinformatics, image/video coding, processing, and  transmission, etc. He has published more than 50 papers, including more than 10  IEEE journal papers. He is now the Area Editor for the Elsevier International  Journal of Electronics and Communications. He has long experiences in hardware  development, e.g. FPGA-based (Xilinx Virtex series) video codec  design, DSP-based (TI C64 series) video surveillance system, etc.

Lecture  Abstract

Distributed  arithmetic coding (DAC) is a practical implementation of Slepian-Wolf coding  (SWC) that performs better than LDPC codes for short-to-medium block lengths. A  very interesting application of the SWC is biometric authenticationasitis able  to realize data encryption and data compression simultaneously. In contrast to  the typical scheme that adopts the breadth-first DAC decoder, this talk  introduces a simplified and more effective scheme based on the depth-first DAC  decoder. We evaluate its verification performance by making comparisons with  the traditional scheme based on the breadth-first DAC decoder.