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 developments 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 developments in this area will be presented, including enhancement of low quality fingerprints, rectification and registration of distorted fingerprints, and indexing of large fingerprint database.
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 postdoc in the PRIP lab at Michigan State University. He has published over 50 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 is an associate editor of Image and Vision Computing, and has served as program committee chair of CCBR (2015-2016), area chair of ICB (2013-2016) and BTAS (2016). He have given several tutorials at biometric conferences (ICB 2013-2014, CCBR 2013-2015, Biometric Winter School 2014).