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Theses

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

This list is far from being exhaustive. Please be sure to visit us again.

Theses

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

This list is far from being exhaustive. Please be sure to visit us again.

Master and PhD theses are listed below for students within CENPARMI.

We encourage students to upload electronic copies of theses to Spectrum, to prompt your work and CENPARMI achievements.

  1. Chun Lei He, Error Analysis of a Hybrid Multiple Classifier System for Recognizing Unconstrained Handwritten Numerals, Doctoral Thesis, Computer Science Department, Concordia University, Montreal, September 2010.
  2. Sara Izadi Nia, Incorporation of Relational Information in Feature Representation for Online Handwriting Recognition of Arabic Characters, Doctoral Thesis, Computer Science Department, Concordia University, Montreal, April 2010.
  3. Malik Waqas Sagheer, Novel Word Recognition and Word Spotting Systems for Offline Urdu Handwriting, Master's Thesis, Computer Science Department, Concordia University, Montreal, February 2010.
  4. Puntis Jifroodian-Haghighi, A Discrete HMM for Recognition of Handwritten Frasi Words, Master's Thesis, Computer Science Department, Concordia University, Montreal, January 2010.
  5. Ning Wang, Noise Tolerant Oriental and English Document Language Identification Methods using Downgraded Pixel Density Feature, Master's Thesis, Computer Science Department, Concordia University, Montreal, December 2009.
  6. Ying Li, Typeface Personality Traits and Their Design Characteristics, Master's Thesis, Computer Science Department, Concordia University, Montreal, November2009.
  7. Khoa Luu, A Computer Approach for Face Aging Problems, Master's Thesis, Computer Science Department, Concordia University, Montreal, September 2009.
  8. Huda Alamri, Recognition of Off-line Arabic Handwritten Dates and Numeral Strings, Master's Thesis, Computer Science Department, Concordia University, Montreal, July 2009.
  9. Muhammad Ismail Shah, A Novel Image Matching Approach for Word Spotting, Master's Thesis, Computer Science Department, Concordia University, Montreal, April 2009.
  10. Wumo Pan, Pattern Detection And Recognition Using Over-Complete And Sparse Representations, Doctoral Thesis, Computer Science Department, Concordia University, Montreal, March 2009.
  11. Wu Ding, Courtesy Amount Recognition using a Feedback-Based Segmentation Algorithm, Master's Thesis, Computer Science Department, Concordia University, Montreal, September 2008.
  12. Joanna Rokita, Multimodal Biometric System Based on Face and Hand Images Taken by a Cell Phone, Master's Thesis, Computer Science Department, Concordia University, Montreal, April 2008.
  13. Farshid Solimanpour, Farshi Handwritten Databases and Offline Isolated Handwritten Digits Recognition, Master's Thesis, Computer Science Department, Concordia University, Montreal, April 2007.
  14. Javad Sadri, Automatic Segmentation and Recognition of Unconstrained Handwritten Numeral Strings, Doctoral Thesis, Computer Science Department, Concordia University, Montreal, April 2007.
  15. Yan Zhang, The Effect of Font Design Characteristics on Font Legibility, Master's Thesis, Computer Science Department, Concordia University, Montreal, September 2006.
  16. Ping Zhang, Reliable Recognition of Handwritten Digits Using a Cascade Ensemble Classifier System and Hybrid Features, Doctoral Thesis, Computer Science Department, Concordia University, Montreal, April 2006.
  17. Nancy Zaramian, Handwritten Digit Classification Using Cascading Neural Network Ensembles, Master's Thesis, Computer Science Department, Concordia University, Montreal, April 2006.
  18. Chun Lei He, Error Analysis of a Hybrid Multiple Classifier System for Recognizing Unconstrained Handwritten Numerals, Master's Thesis, Computer Science Department, Concordia University, Montreal, September 2005.
  19. Sapargali Kambar, Generating Synthetic Data by Morphing Transformation for Handwritten Numeral Recognition (With ν-SVM), Master's Thesis, Computer Science Department, Concordia University, Montreal, August 2005.
  20. Nedjem Eddine Ayat, Automatic Model Selection for Support Vectors Machines: Application to the Recognition of Images of Handwritten Digits, Doctoral thesis, Computer Science Department, L’École de Technologie Supérieure, Montreal, January 2004.
  21. Karim Abou-Moustafa, A Generative-Desciminative Framework for Time Series Data Classification, Master's Thesis, Computer Science Department, Concordia University, Montreal, December 2003.
  22. Jianxing Dong, Speed and Accuracy: Large-Scale Machine Learning Algorithms and Their Applications, Doctoral thesis, Computer Science Department, Concordia University, Montreal, October 2003.
  23. Andrea Barretto de Souza, Automatic Filter Selection Using Image Quality Assessment, Master's Thesis, Computer Science Department, Concordia University, Montreal, July 2003.
  24. Qizhi Xu, Automatic Segmentation and Recognition System for Handwritten Dates on Cheques, Doctoral thesis, Computer Science Department, Concordia University, Montreal, November 27, 2002.

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