Professor Govindaraju's work in handwriting recognition was at the core of the first handwritten address interpretation system used by the United States Postal Service.
Govindaraju's research focuses on machine learning and pattern recognition and his seminal work in handwriting recognition was at the core of the first handwritten address interpretation system used by the U.S. Postal Service.
The learning-based system that Govindaraju developed as project technical lead along with his colleagues at the University at Buffalo helps save the USPS hundreds of millions of dollars by automatically processing, and barcoding for precise delivery, over 25 billion letters a year. This work was highlighted in the Computing Community Consortium's symposium on Computing Research that Changed the World in 2009 as one of the most successful applications of Machine Learning for developing a real-time engineered AI system.
Building on this significant achievement, Govindaraju has made critical contributions to more general handwriting recognition including multilingual OCR of Indic, Arabic and other scripts , impacted the humanities with his work on historical document processing, influenced web security by his work on handwritten CAPTCHAs and is now spearheading innovations in AI driven augmentations for learning with his award winning work on content-based indexing and summarization of lecture videos and presentations.
Over the past two decades, he has also made significant contributions to the field of Biometrics, including advances in fingerprint and face recognition, signature identification, multi-biometric fusion, and soft biometrics.
Globally recognized for his groundbreaking research, Govindaraju has received numerous honors, including the IAPR/ICDAR Outstanding Achievements Award, IEEE Technical Achievement Award and fellowships of major professional societies including the National Academy of Inventors, IEEE, ACM, AAAS, SPIE, and IAPR. He holds four (4) patents and authored/co-authored over 450 scientific papers. He has served on the editorial boards of premier journals such as the IEEE Transactions on Pattern Analysis and Machine Intelligence and as editor-in-chief of the IEEE Biometrics Council Compendium.
The Computing Community Consortium refers to the seminal work:
The National Cancer Institute invited Professor Govindaraju to present:
Received the highest award from the major professional society in the field:
The IEEE Computer Society presented its 2010 Technical Achievement Award to Venu Govindaraju for his pioneering contributions to biometrics systems. The Technical Achievement Award honors outstanding and innovative contributions to computer and information science and engineering, usually within the past 10 years. Dr. Govindaraju accepted his award at the Computer Society's 9 June 2010 awards ceremony in Denver, Colorado.