World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
60
Citations
14367
World Ranking
3240
National Ranking
1573

Research.com Recognitions

  • 2015 - Fellow, National Academy of Inventors
  • 2013 - SPIE Fellow
  • 2010 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2010 - Edward J. McCluskey Technical Achievement Award, IEEE Computer Society For pioneering contributions to Biometrics Systems
  • 2009 - ACM Fellow For contributions to handwritten document image analysis, recognition, and retrieval.
  • 2006 - IEEE Fellow For contributions to handwriting recognition.
  • 2004 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to advances in handwriting recognition.

Overview

Venu Govindaraju is affiliated with the University at Buffalo, State University of New York in the United States. Their primary field of study is Computer Science, with a total of 81 publications focusing on this area. Within this broad field, their subfields of study include Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Computer Networks and Communications, and Human-Computer Interaction.

The main topics of Venu Govindaraju's research encompass Handwritten Text Recognition Techniques, Video Analysis and Summarization, Advanced Image and Video Retrieval Techniques, Face recognition and analysis, Image and Object Detection Techniques, Face and Expression Recognition, and Music and Audio Processing.

Frequent publication venues for their work include arXiv (Cornell University), IEEE Access, the 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), IEEE Transactions on Pattern Analysis and Machine Intelligence, and the Journal of Ambient Intelligence and Humanized Computing.

Recent papers authored or co-authored by Venu Govindaraju include:

  • Chart Mining: A Survey of Methods for Automated Chart Analysis, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • FCN-LectureNet: Extractive Summarization of Whiteboard and Chalkboard Lecture Videos, 2021, IEEE Access
  • User Behaviour based Insider Threat Detection using a Hybrid Learning Approach, 2023, Journal of Ambient Intelligence and Humanized Computing
  • ICPR 2022: Challenge on Harvesting Raw Tables from Infographics (CHART-Infographics), 2022, 2022 26th International Conference on Pattern Recognition (ICPR)
  • Hear The Flow: Optical Flow-Based Self-Supervised Visual Sound Source Localization, 2023, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Frequent co-authors collaborating with Venu Govindaraju include Srirangaraj Setlur, Deen Dayal Mohan, Bhavin Jawade, Kenny Davila, and Saleem Ahmed.

Throughout their career, Venu Govindaraju has received several awards and honors, including the Fellow of the International Association for Pattern Recognition (IAPR) in 2004 for contributions to advances in handwriting recognition, IEEE Fellow in 2006 for contributions to handwriting recognition, ACM Fellow in 2009 for contributions to handwritten document image analysis, recognition, and retrieval, the Edward J. McCluskey Technical Achievement Award from the IEEE Computer Society in 2010 for pioneering contributions to Biometrics Systems, Fellow of the American Association for the Advancement of Science (AAAS) in 2010, SPIE Fellow in 2013, and Fellow of the National Academy of Inventors in 2015.

Best Publications

  • Offline Arabic handwriting recognition: a survey

    L.M. Lorigo;V. Govindaraju

  • Fingerprint enhancement using STFT analysis

    Sharat Chikkerur;Alexander N. Cartwright;Venu Govindaraju

  • Behavioural biometrics: a survey and classification

    Roman V. Yampolskiy;Venu Govindaraju

  • A minutia-based partial fingerprint recognition system

    Tsai-Yang Jea;Venu Govindaraju

  • A lexicon driven approach to handwritten word recognition for real-time applications

    Gyeonghwan Kim;V. Govindaraju

  • The role of holistic paradigms in handwritten word recognition

    S. Madhvanath;V. Govindaraju

  • Review of Classifier Combination Methods

    Sergey Tulyakov;Stefan Jaeger;Venu Govindaraju;David S. Doermann

  • Improved k-nearest neighbor classification

    Yingquan Wu;Krassimir G. Ianakiev;Venu Govindaraju

  • K-plet and coupled BFS: a graph based fingerprint representation and matching algorithm

    Sharat Chikkerur;Alexander N. Cartwright;Venu Govindaraju

  • Robustness of multimodal biometric fusion methods against spoof attacks

    Ricardo N. Rodrigues;Lee Luan Ling;Venu Govindaraju

  • Document image analysis: A primer

    R. Kasturi;L. O'Gorman;V. Govindaraju

  • Locating human faces in photographs

    V. Govindaraju

  • Fingerprint image enhancement using STFT analysis

    Sharat Chikkerur;Venu Govindaraju;Alexander N. Cartwright

  • A computational model for face location

    Venu Govindaraju;Sargur N. Srihari;David B. Sher

  • A comparative study on the consistency of features in on-line signature verification

    Hansheng Lei;Venu Govindaraju

  • Line separation for complex document images using fuzzy runlength

    Z. Shi;Venu Govindaraju

  • An architecture for handwritten text recognition systems

    Gyeonghwan Kim;Venu Govindaraju;Sargur N. Srihari

  • A Steerable Directional Local Profile Technique for Extraction of Handwritten Arabic Text Lines

    Zhixin Shi;Srirangaraj Setlur;Venu Govindaraju

  • Half-Against-Half multi-class support vector machines

    Hansheng Lei;Venu Govindaraju

  • Separating text and background in degraded document images - a comparison of global thresholding techniques for multi-stage thresholding

    G. Leedham;S. Varma;A. Patankar;V. Govindaraju

Frequent Co-Authors

Sargur N. Srihari
Sargur N. Srihari University at Buffalo, State University of New York
Bir Bhanu
Bir Bhanu University of California, Riverside
Hung Q. Ngo
Hung Q. Ngo University at Buffalo, State University of New York
Nalini K. Ratha
Nalini K. Ratha University at Buffalo, State University of New York
Daniel P. Lopresti
Daniel P. Lopresti Lehigh University
Rohini K. Srihari
Rohini K. Srihari University at Buffalo, State University of New York
Atri Rudra
Atri Rudra University at Buffalo, State University of New York
George R. Thoma
George R. Thoma National Institutes of Health
David Doermann
David Doermann University at Buffalo, State University of New York
Jason J. Corso
Jason J. Corso University of Michigan–Ann Arbor

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