Room 70-3500 (Golisano College)
Department of Computer Science
Rochester Institute of Technology
Phone: (585) 475-4536

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Publications by Topic

Projects and Theses Completed in the DPRL

M. Reichenbach (2013) Improving Accuracy of Relevance Assessment for Math Search using Rendered Expressions. Master's thesis, Rochester Institute of Technology (Human-Computer Interaction), NY, USA (May 2013).

K. Davlia (2013) Math Expression Retrieval Implemented through Sketches. Master's project, Rochester Institute of Technology (Computer Science), NY, USA (May 2013).

G. Chen (2013) [to appear]. Senior undergraduate project, Rochester Institute of Technology (Imaging Science), NY, USA (May 2013).

T. Schellenberg (2011) Layout-Based Substitution Tree Indexing and Retrieval for Mathematical Expressions. Master's thesis, Rochester Institute of Technology (Computer Science), NY, USA (November 2011).

B. Holm (2011) Evaluation of RSL History as a Tool for Assistance in the Development and Evaluation of Computer Vision Algorithms. Master's thesis, Rochester Institute of Technology (Computer Science), NY, USA (August 2011).

D. Snyder (2011) Text Detection in Natural Scenes through Weighted Majority Voting of DCT High Pass Filters, Line Removal, and Color Consistency Filtering. Master's thesis, Rochester Institute of Technology (Imaging Science), NY, USA (May 2011).

L. Yu (2010) Image-Based Math Retrieval Using Handwritten Queries, Master's thesis, Rochester Institute of Technology (Computer Science), NY, USA (May, 2010).

L. Ouyang. (2009) A Symbol Layout Classification for Mathematical Formulas Using Layout Context, Master's thesis, Rochester Institute of Technology (Imaging Science), NY, USA (Nov. 2009).

K. Kluever. (2008) Evaluating the Usability and Security of a Video CAPTCHA. Master's thesis, Rochester Institute of Technology (Computer Science), NY, USA (Aug. 2008).

Math Retrieval

S. Zhu, L. Hu and R. Zanibbi (2013) Rotation-Robust Math Symbol Recognition and Retrieval Using Outer Contours and Image Subsampling Proc. Document Recognition and Retrieval, San Francisco, CA, to appear.

R. Zanibbi and D. Blostein (2012) Recognition and Retrieval of Mathematical Expressions, Int'l. Journal on Document Analysis and Recognition 15(4): 331-357. (original publication available from www.springerlink.com).

C. Sasarak, K. Hart, R. Pospesel, D. Stalnaker, L. Hu, R. LiVolsi, S. Zhu, and R. Zanibbi. (2012) min: A Multimodal Web Interface for Math Search. Symp. Human-Computer Interaction and Information Retrieval, Cambridge, MA (online, 4pp).

T. Schellenberg, B. Yuan and R. Zanibbi (2012). Layout-based substitution tree indexing and retrieval for mathematical expressions, Proc. Document Recognition and Retrieval XIX, pp. 8297OI-1 - 8297OI-8, San Francisco.

R. Zanibbi and L. Yu. (2011) Math Spotting: Retrieving Math in Technical Documents Using Handwritten Query Images. Proc. Int'l Conf. Document Analysis and Recognition, pp. 446-451, Beijing.

R. Zanibbi and B. Yuan. (2011) Keyword and image-based retrieval of mathematical expressions. Proc. Document Recognition and Retrieval XVIII, vol. 7874 Proc. SPIE, pp. OI1-OI9, San Francisco, CA.

Math Recognition and Pen-Based Equation Editors

L. Hu and R. Zanibbi (2013) Segmenting Handwritten Math Symbols Using AdaBoost and Multi-Scale Shape Context Features. Proc. Int'l Conf. Document Analysis and Recognition, to appear.

R. Zanibbi, H. Mouchere, and C. Viard-Ga

D. Blostein and R. Zanibbi. (to appear) Processing Mathematical Notation, Chapter 5.6 in Handbook of Document Image Processing and Recognition, Springer-Verlag.

S. Zhu, L. Hu and R. Zanibbi (2013) Rotation-Robust Math Symbol Recognition and Retrieval Using Outer Contours and Image Subsampling Proc. Document Recognition and Retrieval, San Francisco, CA, to appear.

R. Zanibbi and D. Blostein (2012) Recognition and Retrieval of Mathematical Expressions, Int'l. Journal on Document Analysis and Recognition 15(4): 331-357. (original publication available from www.springerlink.com).

L. Hu, K. Hart, R. Pospesel, and R. Zanibbi. (2012) Baseline extraction-driven parsing of handwritten mathematical expressions Proc. Int'l Conf. Pattern Recognition, Tsukuba Science City, Japan.

L. Hu and R. Zanibbi. (2011) HMM-Based Recognition of Online Handwritten Mathematical Symbols Using Segmental K-means Initialization and a Modified Pen-up/down Feature. Proc. Int'l. Conf. Document Analysis and Recognition, pp. 457-462, Beijing.

R. Zanibbi, A. Pillay, H. Mouchere, C. Viard-Gaudin, and D. Blostein. (2011) Stroke-Based Performance Metrics for Handwritten Mathematical Expressions. Int'l Conf. Document Analysis and Recognition, pp. 334-338, Beijing.

L. Ouyang and R. Zanibbi. (2009) Identifying Layout Classes for Mathematical Symbols using Layout Context, Proc. IEEE Western New York Image Processing Workshop (extended abstract).

L. Ouyang and R. Zanibbi. (2009) Handwritten Mathematical Symbol Classification Using Layout Context, Int'l Workshop on Pen-Based Mathematical Computation (extended abstract).

A. Pillay and R. Zanibbi. (2009) Intelligent Combination of Structural Analysis Algorithms: Application to Mathematical Expression Recognition, Int'l Workshop on Pen-Based Mathematical Computation (extended abstract).

L. Yu and R. Zanibbi. (2009) Math Spotting in Technical Documents Using Handwritten Queries, Int'l Workshop on Pen-Based Mathematical Computation (extended abstract).

L. Zhang, D. Blostein, and R. Zanibbi. (2005) Using Fuzzy Logic to Analyze Superscript and Subscript Relations in Handwritten Mathematical Expressions, in Proc. Int'l Conf. Document Analysis and Recognition, pp. 972-976, Seoul, Korea.

R. Zanibbi, D. Blostein, and J.R. Cordy. (2002) Recognizing Mathematical Expressions Using Tree Transformation, IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 24, No. 11, pp. 1455-1467. (The original publication is available at ieeexplore.ieee.org)

D. Blostein, J.R. Cordy and R. Zanibbi. (2002) Applying Compiler Techniques to Diagram Recognition, in Proc. Sixteenth Int'l Conference on Pattern Recognition, Vol. 3, pp. 123-126, Quebec City, Canada.

D. Blostein, E. Lank, A. Rose, and R. Zanibbi. (2002) User Interfaces for On-Line Diagram Recognition, in Graphics Recognition: Algorithms and Applications, Lecture Notes in Computer Science, Vol. 2390, pp. 92-103.

R. Zanibbi, K. Novins, J. Arvo and K. Zanibbi. (2001) Aiding Manipulation of Handwritten Mathematical Expressions through Style-Preserving Morphs, In Proc. Graphics Interface 2001, Ottawa, Canada, pp. 127-134.

Historical Document Analysis

R. LiVolsi, R. Zanibbi, and C. Bigelow. (2012) Collecting historical font metrics from Google Books. Proc. Int'l Conf. Pattern Recognition, Tsukuba Science City, Japan.

CAPTCHAs

K. Kluever and R. Zanibbi. (2009) Balancing Usability and Security in a Video CAPTCHA, in Proc. Symposium on Usable Privacy and Security (archived online in the ACM International Conference Proceeding Series).

K. Kluever and R. Zanibbi. (2008) Video CAPTCHAs: Usability vs. Security. Proc. IEEE Western New York Image Processing Workshop, Rochester, NY (USA) (extended abstract).

K. Kluever. (2008) Breaking the PayPal HIP: A Comparison of Classifiers. (RIT Department of Computer Science Technical Report).

Tools for Constructing and Evaluating Recognition Systems

R. Zanibbi, H. Mouchere, and C. Viard-Gaudin (2013) Evaluating Structural Pattern Recognition for Handwritten Math via Primitive Label Graphs Proc. Document Recognition and Retrieval, San Francisco, CA, to appear.

R. Zanibbi, D. Blostein, and J.R. Cordy. (2009) White-Box Evaluation of Computer Vision Algorithms through Explicit Decision-Making, Proc. Int'l. Conf. Computer Vision Systems, Lecture Notes in Computer Science, Vol. 5815, pp. 295-304.

R. Zanibbi, D. Blostein, and J.R. Cordy. (2008) Decision-Based Specification and Comparison of Table Recognition Algorithms, in Machine Learning in Document Analysis and Recognition, Springer Studies in Computational Intelligence, Vol. 90, pp. 71-103 (original version is available from www.springerlink.com).

R. Zanibbi, D. Blostein, and J.R. Cordy. (2006) Decision-Based Specification and Comparison of Table Recognition Strategies. Proc. IEEE Western New York Image Processing Workshop, Rochester, NY (USA) (extended abstract)

R. Zanibbi, D. Blostein, and J.R. Cordy. (2005) The Recognition Strategy Language, in Proc. Int'l Conf. Document Analysis and Recognition, pp. 565-569, Seoul, Korea.

R. Zanibbi, D. Blostein, and J.R. Cordy. (2005) Historical Recall and Precision: Summarizing Generated Hypotheses, in Proc. Int'l Conf. Document Analysis and Recognition, pp. 202-206, Seoul, Korea.

R. Zanibbi, D. Blostein, and J.R. Cordy. (2005) Recognition Tasks are Imitation Games, in Pattern Recognition and Data Mining, Eds. S. Singh et al., Lecture Notes in Computer Science, Vol. 3686, pp. 209-218.

Other Document Recognition Papers

S. Zhu and R. Zanibbi (2013) Label Detection and Recognition for USPTO Images using Convolutional K-means Feature Quantization and AdaBoost. Proc. Int'l Conf. Document Analysis and Recognition, to appear.

J.C. Handley, A.M. Namboodiri, and R. Zanibbi. (2005) Document Understanding System Using Stochastic Context-Free Grammars, in Proc. Int'l Conf. Document Analysis and Recognition, pp. 511-515, Seoul, Korea.

R. Zanibbi, D. Blostein, and J.R. Cordy. (2004) A Survey of Table Recognition: Models, Observations, Transformations, and Inferences, Int'l J. Document Analysis and Recognition, Vol. 7, No. 1, pp. 1-16. (The original publication is available at www.springerlink.com)

D. Blostein, R. Zanibbi, G. Nagy, R. Harrap. (2003) Document Representations. Proc. Fifth IAPR Int'l Workshop on Graphics Recognition (GREC 2003), Barcelona, Spain, pp. 3-12.


Last updated: $Date: 2013/05/16 19:43:27 $