Richard Zanibbi
Associate Professor
Department of Computer Science, Center for Imaging Science (cross-appointment)
Director, Document and Pattern Recognition Laboratory
Rochester Institute of Technology (NY, USA)

Education: PhD, MSc, and BA(minor) (Computer Science);
BMusic; Queen's University, Kingston, ON, Canada
Member: IAPR, IEEE Computer Society


Office Hours: Tuesdays/Thursdays 2-4:00pm, or by appointment, Office: Golisano Rm. 3551
Schedule: Spring 2013; Winter 2012  Phone: (585) 475-5023 Email: rxzvcs @ rit edu, rlaz @ cs rit edu

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I am a Professor of Computer Science at RIT, specializing in pattern recognition, document recognition, and information retrieval. I belong to the Intelligent Systems Area faculty in the Computer Science Department, and direct the Document and Pattern Recognition Lab (DPRL), whose members have included undergraduate and graduate students in Computer Science, Imaging Science, and Computer Engineering. During June 2012, I was a Visiting Professor at the IRCCyN/IVC research center located within Polytech Nantes, France.

I recently gave a talk on the dprl's work in math recognition and retrieval Creating User-Friendly Systems for Math Search as part of the RIT Imaging Science Seminar Series.

The CROHME international handwritten math recognition competition has begun! I am serving on the organizing committee for the competition this year, and have contributed some tools for the competition (see below). Students, academics and industrial researchers have participated in the competition in previous years.

New: CROHMELib (v. 0.1) and the Label Graph Evaluation Library (LgEval v. 0.2) have been released (Feb, 2013): CROHMELib and LgEval have been relased under a Creative Commons open source license. CROHMELib provides tools for translating between label graph (.lg) and CROHME .inkml format files. LgEval is a python-based library for evaluating structural pattern recognizers, at the level of primitives (e.g. strokes in handwritten math) and objects (e.g. symbols in a handwritten math expression). The library contains tools for compiling, summarizing and visualizing recognition errors.

I was the lead Co-Chair for Document Recognition and Retrieval XX (with Bertrand Coüasnon), held in San Francisco, Feb. 5-7, 2013. DRR is one of the leading venues for current developments in document recognition and retrieval research; details about the conference are available on the conference web site.