| Year |
Sr. No. |
Name of the staff |
Title |
| 2009 |
1 |
Dr.Aditya Abhyankar |
Stephanie Schuckers, “A novel Biorthogonal wavelet Network based iris recognition",Pattern Recognition, In Press. |
| Amit Vijayat, Sunil Kumar and Stephanie Schuckers, “Encryption of Biometric Templates using One Time Biometric Transform", International Journal of Biometrics and Bioinformatics, Vol 1, No 3, PP 40 – PP 47, June 2009. |
| Nilesh Kulkarni, Sunil Kumar and Stephanie Schuckers, “Fingerprint Image Quality and Prediction of Matching Performance", International Journal of Digital Image Processing, Vol 1, No3, PP 108 – PP 112, June 2009. |
| “An Efficient Algorithm for Multi-Target Human Motion Tracking", International Journal of Artificial Intelligent Systems and Machine Learning, Vol 1, No 3, PP 92 – PP 97, June 2009. |
| Stephanie Schuckers, “A wavelet based invigoration check in fingerprint scanners", International Journal of Biometrics and Bioinformatics, Vol 1, No 3, PP 48 – PP 56, June 2009. |
| Stephanie Schuckers, “Integrating a wavelet based perspiration liveness check with fingerprint recognition", Pattern Recognition, Volume (42), Number (3), pages (452-464), 2009. |
| Stephanie Schuckers, “Iris Quality Assessment and Bi-orthogonal wavelet based Encoding for Recognition", Pattern Recognition, Volume (42), Number (9), pages (1878-1894), 2009. |
2 |
Dr.S.N.Londhe |
Ships and Offshore Structures Genetic Programming for Real Time Prediction of Offshore 4 (1) ,77-88, 2009. |
3 |
Dr.Rajesh Ghongade |
Dr. A.A. Ghatol; “A Novel QRS Detection Method”, International Journal of Applied Computing,, Vol. 2, Supp. Issue1, 2009, Pages: 6-13 ISSN: 0974–6277 |
| Dr. A.A. Ghatol; “Deciding Optimal Number of Exemplars for Designing an ECG Pattern Classifier Using MLP”, Indian Journal of Science and Technology, , Vol.2 No 4, 2009, Pages: 40-42 , e-journal (ISSN:0974-5645), Print journal (ISSN:0974-6846) |
| Dr. A.A. Ghatol; “Optimization of a Multi-Class MLP ECG Classifier using FCM”, (accepted) , Indian Journal of Science and Technology ,Track No: 287, e-journal (ISSN:0974-5645), Print journal (ISSN:0974-6846) |
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