Tutorial at IJCB 2014

Latent Fingerprint and Palmprint Recognition

Abstract:

Fingerprint/palmprint recognition is one of the important tools used in forensics to establish the identity of a suspect. Although latent print evidence has been widely used in forensics for more than a century, latent print identification continues to be a semi-automated process with significant human involvement in the feature extraction and matching stages. To reduce the workload of latent examiners, there is a critical and urgent need for fully automated latent identification systems. This tutorial will provide an introduction to the basics of fingerprint recognition and recent advances in various topics in latent fingerprint/palmprint recognition, including fingerprint orientation field estimation, fingerprint distortion rectification, fingerprint alteration detection, palmprint enhancement, and palmprint matching.

Biography:

Jianjiang Feng is an associate professor in Department of Automation, Tsinghua University, Beijing. He received his PhD degree from Beijing University of Posts & Telecommunications. After that, he has worked as a postdoc in the PRIP lab at Michigan State University. He has published over 30 papers, 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 2011-2014, BTAS 2012, SPIE Biometrics 2010-2011, CCBR 2012-2014), and has been a reviewer of several major image processing and pattern recognition journals (IEEE Trans. on TPAMI, TIP, TIFS). He has given tutorial talks on fingerprint recognition at several conferences (ICB 2013, CCBR 2013, Biometric Winter School 2014).

Reference:

  1. A. K. Jain, A. A. Ross, and K. Nandakumar, "Introduction to biometrics", Springer, 2011.
  2. J. Feng, J. Zhou, A. K. Jain, "Orientation field estimation for latent fingerprint enhancement", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 35, no. 4, pp. 925-940, 2013.
  3. X. Yang, J. Feng, J. Zhou, "Localized dictionaries based orientation field estimation for latent fingerprints", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 36, no. 5, pp. 955-969, 2014.
  4. S. Yoon, J. Feng, A. K. Jain, "Altered fingerprints: analysis and detection", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 34, no. 3, pp. 451-464, 2012.
  5. A. K. Jain, J. Feng, "Latent palmprint matching", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 31, no. 6, pp. 1032-1047, 2009.
  6. J. Dai, J. Feng, J. Zhou, "Robust and efficient ridge-based palmprint matching", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 34, no. 8, pp. 1618-1632, 2012.