Reaching Others University at Buffalo - The State University of New York
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photo of Venu Govindaraju

Venu Govindaraju, PhD

Department of Computer Science and Engineering, SUNY Distinguished Professor

 

Specialty/Research Focus

Machine learning, pattern recognition, biometrics, document recognition.

Research Impact

Patents

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US 5515455: “System for Recognizing Handwritten Words of Cursive Script”
V. Govindaraju, D. Wang, and S. Srihari. 1996.

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US 20060078171: “Biometric Convolution Using Multiple Biometrics”
V. Govindaraju, S. Chikkerur, and S. Chavan. 2006. (Provisional)

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US 20070253608: “Secure Fingerprint Matching by Hashing Localized Information”
V. Govindaraju, S. Tulyakov, F. Farooq, and S. Chikkerur. 2007. (Pending)

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“System for Indicating Deceit and Verity”
T. Slowe, V. Govindaraju, P. Kilinskas, J. Delbert, and M. Moskal. 2007. (Pending)

   
   

Technology Transfer License

 

Accuscript (TM) Software for reading unconstrained handwriitng recognition can be licensed from University at Buffalo STOR Office.

 

Postal Technology

 

The team led by Dr. Govindaraju and his colleagues at the University at Buffalo delivered to the USPS a field-deployable real-time system yielding annual savings of several hundred million dollars. This has come about in part due to the seminal and widely cited paper with ground-breaking techniques to efficiently segment and process cursively written (often with illegible parts) words with the help of lexicons in real time.

 
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1997 Annual Report of the United States Postal Service, Page 43

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June 10, 1999: Lockheed Martin, Owega - Press Release

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February 1, 1999: Katy Saldarini, Government Executive

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1999 Annual Report of the United States Postal Service, Section "Gateway to the Household: Automating"