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CUBS
About the Center for Unified Biometrics and Sensors




               VenuGovindaraju

   Distinguished Professor, SUNY Buffalo

                 CUBS Director
About CUBS


• Advancing biometric technologies for civilian and
   homeland security by integrating pattern recognition
   and machine learning algorithms with sensors
   technology since 2003

• Two strategic application areas:
   Biometrics and Language Technologies

• Funded by industry and government agencies
• Scholarly activities include 25 PhD dissertations and
   350 scientific papers
Major Technical Achievements
•   Postal: Developed handwriting recognition technology used by US
    Postal Service leading to savings of several hundred million dollars
    “Computing Research that Changed the World: Reflections and
    Perspectives” March 25, 2009”:: Impact ::

•   Web Security: Innovated the first handwritten CAPTCHAs to improve
    web security “MIT” Tech Review January 09, 2009
•   Privacy Preserving Biometrics: Innovated a hashing method for storing
    and matching fingerprint data for cancelable biometrics US Patent 2011
•   Multilingual OCR: Steered the OCR community research towards
    including Indic scripts in digital library initiatives Guide to OCR for Indic
    Scripts
•   Deceit Detection: Developed automated techniques for analyzing eye
    movements and facial expressions. Can machines tell when a person is
    lying?
People
Projects
Language Technologies                            Biometrics

Multilingual OCR (Arabic, Indic, and CJK         Modalities
scripts                                          (Face, fingerprint, gait, iris, signature)

Historical Documents                             Cancelable Biometrics (private
(restoration, transcription, indexing)           templates, cryptography)

PDA Interfaces (online recognition, gestures)    People Tracking (smart environments)

White Board Technologies (video, distance        Gaze Tracking (assisted living, marketing)
learning)
                                                 Facial Expression Analysis ( deceit
Editorial Gesture Recognition (collaborative     detection, impaired driving)
document editing)
                                                 Emotion Analysis (fMRI)
Medical Informatics (forms, prescriptions, lab
reports)                                         Scene Understanding (locating people in
                                                 crowds)
Web Security (CAPTCHAs)
                                                 Fusion (modalities, classifiers)
Search Engines (handwriting, multilingual)
CUBS Facts

Where are they now?

CUBS students have been employed by top tier companies such as Amazon, BBN, eBay, Fujitsu,
Google, IBM, L1, Siemens, and Yahoo Research

Computing Research that Changed the World

“… VenuGovindaraju and colleagues developed a learning based system which processes 25
billion letters a year automatically… saving hundreds of millions of dollars for the United States
Postal Service.” (Presentation at Library of Congress)

Research and Development

R&D investment of over $50M in pattern recognition technologies

                                         cubs.buffalo.edu

                                        govind@buffalo.edu

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About CUBS

  • 1. CUBS About the Center for Unified Biometrics and Sensors VenuGovindaraju Distinguished Professor, SUNY Buffalo CUBS Director
  • 2. About CUBS • Advancing biometric technologies for civilian and homeland security by integrating pattern recognition and machine learning algorithms with sensors technology since 2003 • Two strategic application areas: Biometrics and Language Technologies • Funded by industry and government agencies • Scholarly activities include 25 PhD dissertations and 350 scientific papers
  • 3. Major Technical Achievements • Postal: Developed handwriting recognition technology used by US Postal Service leading to savings of several hundred million dollars “Computing Research that Changed the World: Reflections and Perspectives” March 25, 2009”:: Impact :: • Web Security: Innovated the first handwritten CAPTCHAs to improve web security “MIT” Tech Review January 09, 2009 • Privacy Preserving Biometrics: Innovated a hashing method for storing and matching fingerprint data for cancelable biometrics US Patent 2011 • Multilingual OCR: Steered the OCR community research towards including Indic scripts in digital library initiatives Guide to OCR for Indic Scripts • Deceit Detection: Developed automated techniques for analyzing eye movements and facial expressions. Can machines tell when a person is lying?
  • 5. Projects Language Technologies Biometrics Multilingual OCR (Arabic, Indic, and CJK Modalities scripts (Face, fingerprint, gait, iris, signature) Historical Documents Cancelable Biometrics (private (restoration, transcription, indexing) templates, cryptography) PDA Interfaces (online recognition, gestures) People Tracking (smart environments) White Board Technologies (video, distance Gaze Tracking (assisted living, marketing) learning) Facial Expression Analysis ( deceit Editorial Gesture Recognition (collaborative detection, impaired driving) document editing) Emotion Analysis (fMRI) Medical Informatics (forms, prescriptions, lab reports) Scene Understanding (locating people in crowds) Web Security (CAPTCHAs) Fusion (modalities, classifiers) Search Engines (handwriting, multilingual)
  • 6. CUBS Facts Where are they now? CUBS students have been employed by top tier companies such as Amazon, BBN, eBay, Fujitsu, Google, IBM, L1, Siemens, and Yahoo Research Computing Research that Changed the World “… VenuGovindaraju and colleagues developed a learning based system which processes 25 billion letters a year automatically… saving hundreds of millions of dollars for the United States Postal Service.” (Presentation at Library of Congress) Research and Development R&D investment of over $50M in pattern recognition technologies cubs.buffalo.edu govind@buffalo.edu