Talk: Fingerprint Recognition: Basics and Recent Trends


Fingerprint recognition is widely used in forensic and civilian applications for verifying or identifying one’s identity. Despite of its wide application, there still exist several challenging and important research problems. This tutorial will give an introduction to the basics of fingerprint recognition as well as discuss the recent trends in the field.


The tutorial will contain two parts. In the first part, basic methods for major modules (including sensing, feature extraction and matching) in a fingerprint recognition system will be introduced. In the second part, the challenges of fingerprint recognition will be discussed and the recent trends in this area will be presented, including latent fingerprint recognition, latent palmprint recognition, and detecting altered fingerprints.





Jianjiang Feng is an associate professor in Department of Automation, Tsinghua University, Beijing. He received his PhD degree from Beijing University of Posts & Telecommunications in 2007. After that, he has worked as a research associate in the Biometric Research Center at the Hong Kong Polytechnic University, and a postdoc in the PRIP lab at Michigan State University. He has published over 30 papers in journals and conference, among which two received the best student paper awards on SIBGRAPI 2010 and IJCB 2011, and one received the best paper award on ICIEA 2012. He has served as program committee member of major biometrics conferences (ICB 2011-2013, BTAS 2012, SPIE Biometrics 2010-2011, CCBR 2012-2013), and has been a reviewer of several major image processing and pattern recognition journals (IEEE Trans. on TPAMI, TIP, TIFS, etc.).