Click HERE for the PDF version of my resume (updated!!!)
My publications can be downloaded HERE
EDUCATION
- Ph.D. (expected graduation date: August, 2007), Department of Computer Science and Engineering, MICHIGAN STATE UNIVERSITY, East Lansing, MI (since August, 2002) Advisor: Prof. Anil K. Jain [GPA:4.0/4.0]
- M.S. (with Distinction), Department of Statistics and Probability, MICHIGAN STATE UNIVERSITY, East Lansing, MI (Aug. 2005 - Dec.2006) [GPA:3.98/4.0]
- B. Sc. (Honors), Department of Computer Science,SICHUAN UNIVERSITY, Chengdu, China (Aug. 1998 - Jul. 2002) [GPA:3.9/4.0]
PROFESSIONAL EXPERIENCES
- May 2004 - present, Graduate Research Assistant, Pattern Recognition & Image Processing Laboratory, Dept. of Computer Science and Engineering, Michigan State University
- May 2006 - July 2006, Summer Research Intern, TBS, Switzerland.
- May 2005 - August 2005, Summer Research Intern, Corporate R&D, Identix Incorporated, Jersey City, NJ
- January 2004 - May 2004, Graduate Teaching Assistant, Dept. of Computer Science and Engineering, Michigan State University
- CSE231 (Introduction to Programming I) Duties: Project design, lab assistance and grading
- CSE370 (Object Oriented Programming and Software Engineering) Duties: lab assistance and grading
- August 2002 - December 2003, Graduate Research Assistant, Embodied Intelligence Laboratory, Dept. of Computer Science and Engineering, Michigan State University
RESEARCH EXPERIENCES
3D Touchless Fingerprints
Develop a non-parametric unwrapping technique for virtual rolling of 3D touchless fingerprints and demonstrate their compatibility with legacy rolled fingerprints. The proposed virtual rolling process also shows compatible deformation under different rolling directions.
Extended Fingerprint Feature Set
Design and develop algorithms to extract extended features such as pores and ridge contours for 1000ppi fingerprint matching. The iterative control point (ICP) algorithm is used for matching extended features. An automated hierarchical system that utilizes multi-level features for is also employed to improve matching accuracy and efficiency.
Image Quality Assessment for Biometric Systems
A multi-biometric quality checker was developed to examine the quality of fingerprint and iris images. The fingerprint checker evaluates both local and global quality of a fingerprint image using FFT and coherence measure, respectively. The iris checker measures the localized iris features using a 2D wavelet-based algorithm. A quality-based multi-algorithm fingerprint system is also implemented to demonstrate the effects of image quality on fution performance.
Fingerprint Deformation Models
Fingerprint deformation estimation for the purpose of removing non-linear deformations prior to the matching stage. A finger-specific deformation model is constructed using the Thin-Plate Splines and an optimal template selection strategy is established based on the bending energy.
Fingerprint Spoof Detection
Non-linear deformation is a natural choice for spoof detection since human skin has special elastic property, compared to artifical materials, such as gelatin, silicon, etc. Based on the differences of the non-linear deformation estimated between live vs. live pairs and live vs. fake pairs, we are able to detect fake fingerprints at a high classification rate.
Fingerprint Registration
Establish minutiae correspondences using a voting scheme and utilize alignment of orientation fields and singular points to improve the robustness of our current matcher.
Slap Fingerprint Segmentation and Sequence Checking
Develop algorithms to segment slap fingerprint images into individual fingerprint images and conduct a sequence checking procedure to match rolled fingerprints against segmented slap fingerprints for correct sequencing assurance.
Iris Image Segmentation
Iris region is segmented from the eye image for the purpose of iris coding. This involved image enhancement, wavelets and Hough transform.
PUBLICATIONS
- A. Jain, Y. Chen, M. Demirkus, "Pores and Ridges: Fingerprint Matching Using Level 3 Features," IEEE Trans. Pattern Analysis and Machine Intelligence,vol. 29, no. 1, pp. 15-27, Jan. 2007.
- K. Nandakuma, Y. Chen , S. Dass, and A. Jain, " Biometric Score Fusion: Likelihood Ratio, Matcher Correlation and Image Quality,Ħħ submitted to IEEE Trans. Pattern Analysis and Machine Intelligence, Nov. 2006.
- Y. Chen, G. Parziale, E. Diaz-Santana, and A. Jain, "3D Touchless Fingerprints: Compatibility with Legacy Rolled Images," in Proc. of Biometric Symposium, Biometric Consortium Conference, Baltimore, MD, Sept. 2006.
- A. K. Jain, Y. Chen, M. Demirkus, "Pores and Ridges: Fingerprint Matching Using Level 3 Features," in Proc. of International Conference on Pattern Recognition, Hong Kong, China, Aug., 20-24, 2006.
- K. Nandakumar, Y. Chen, S. Dass, A. K. Jain, "Quality-based Score Level Fusion in Multibiometric Systems," in Proc. of International Conference on Pattern Recognition, Hong Kong, China, Aug., 20-24, 2006.
- Y. Chen, S. Dass , and A. Jain, "A Localized Iris Image Quality Measure Using 2D Wavelets," in Proc. of International Conf. on Biometrics, HongKong, China, Jan 6-8, 2006.
- J. Fierrez, Y. Chen, J. Garcia, and A. Jain, "Incorporating Image Quality in Multi-algorithm Fingerprint Verification", in Proc. of International Conf. on Biometrics, HongKong, China, Jan 6-8, 2006. (Motorola best student paper award)
- Y. Chen , A. Jain, "Fingerprint Deformation for Spoof Detection," in Proc. of Biometrics Symposium, Biometric Consortium Conference , Crystal city, VA, Sep. 19-21, 2005.
- Y. Chen, S. Dass , and A. Jain, "Fingerprint Quality Indices for Predicting Authentication Performance," in Proc. of International Conference on Audio-and-Video-based Biometric Person Authentication, Rye Town, NY, Jul. 20-22, 2005.
- Y. Chen, S. Dass , A. Ross, and A. Jain, "Fingerprint Deformation Models Using Minutiae Locations and Orientations," in Proc. of IEEE Workshop on Applications of Computer Vision, Breckenridge, Colorado, Jan. 5-7, 2005.
- Y. Chen, and J. Weng, "A Priming-based Learning Mechanism and Its Application in Object Understanding," in Proc. of International Symposium on Biologically Inspired Systems, Scotland, UK, Aug 29-Sept.1, 2004.
- Y. Chen, and J. Weng, "Developmental Learning: A Case Study in Understanding 'Object Permanence'," in Proc. of International Workshop on Epigenetic Robotics, Genoa, Italy, Aug 25-27, 2004.
- Y. Chen, J. Weng, and X. Huang, "'Object Permanence': Results From Developmental Robotics," in Proc. of International Joint Conf. on Neural Networks, CD-ROM Edition, Budapest, Hungary, July 25-29, 2004.
- J. Weng, Y. Zhang, and Y. Chen, "Developing Early Senses about the World: 'Object Permanence' and Visuoauditory Real-time Learning,'' in Proc.of Intel Joint Conf. on Neural Networks, Portland, OR, pp. 2710 ?2715, July 20-24, 2003.
- B. Li, J. Chen, J. Yang, and Y. Chen, "Realization and Application of Digital Watermarking", Journal of Electronic Quality , Vol. 5, 2002 (in Chinese)