World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
65
Citations
20869
World Ranking
2424
National Ranking
1213

Research.com Recognitions

  • 1996 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to character recognition and for service to IAPR

Overview

Sargur N. Srihari is affiliated with the University at Buffalo, State University of New York, in the United States. Their work spans multiple fields of study, including Computer Science and Engineering, with focused research contributions in subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Radiology, Nuclear Medicine and Imaging, and Organizational Behavior and Human Resource Management.

Their research topics encompass a variety of areas, including Multimodal Machine Learning Applications, Handwritten Text Recognition Techniques, COVID-19 diagnosis using AI, Topic Modeling, Advanced Image and Video Retrieval Techniques, Human Motion and Animation, and Cutaneous Melanoma Detection and Management.

Among the recent publications by Sargur N. Srihari are the following:

  • Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignment, 2021, Lecture Notes in Computer Science
  • Talent management by predicting employee attrition using enhanced weighted forest optimization algorithm with improved random forest classifier, 2022, International Journal of Advanced Technology and Engineering Exploration
  • Subjective Areas of Improvement: A Personalized Recommendation, 2020, Procedia Computer Science
  • Revisiting hierarchy: Deep learning with orthogonally constrained prior for classification, 2020, Pattern Recognition Letters
  • Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignment, 2021, arXiv (Cornell University)

Frequent coauthors collaborating with Srihari include Mingchen Gao, Mohammad Abuzar Shaikh, Zhanghexuan Ji, Dana Moukheiber, and Mihir Chauhan.

They have published frequently in venues such as arXiv (Cornell University), Lecture Notes in Computer Science, International Journal of Advanced Technology and Engineering Exploration, Procedia Computer Science, and Pattern Recognition Letters.

In recognition of contributions to character recognition and professional service, Srihari was named a Fellow of the International Association for Pattern Recognition (IAPR) in 1996.

Best Publications

  • Online and off-line handwriting recognition: a comprehensive survey

    R. Plamondon;S.N. Srihari

  • Decision combination in multiple classifier systems

    Tin Kam Ho;J.J. Hull;S.N. Srihari

  • Individuality of handwriting

    S.N. Srihari;S.H. Cha;H. Arora;S. Lee

  • Off-line cursive script word recognition

    R.M. Bozinovic;S.N. Srihari

  • On measuring the distance between histograms

    Sung-Hyuk Cha;Sargur N. Srihari

  • OFFLINE SIGNATURE VERIFICATION AND IDENTIFICATION USING DISTANCE STATISTICS

    Meenakshi K. Kalera;Sargur N. Srihari;Aihua Xu

  • Probabilistic Graphical Models

    Unknown

  • Classification of newspaper image blocks using texture analysis

    Dacheng Wang;Sargur N. Srihari

  • Analysis of textual images using the Hough transform

    Sargur N. Srihari;Venugopal Govindaraju

  • Document image binarization based on texture features

    Ying Liu;S.N. Srihari

  • Representation of Three-Dimensional Digital Images

    Sargur N. Srihari

  • Method and apparatus for analyzing and/or comparing handwritten and/or biometric samples

    Sargur Srihari;Yong-Chul Shin;Sangjik Lee;Venugoal Govindaraju

  • Fast k-nearest neighbor classification using cluster-based trees

    Bin Zhang;S.N. Srihari

  • A computational model for face location

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

  • A hierarchical data structure for multidimensional digital images

    Mann-May Yau;Sargur N. Srihari

  • Recognition of handwritten and machine-printed text for postal address interpretation

    Sargur N. Srihari

  • Integration of hand-written address interpretation technology into the United States Postal Service Remote Computer Reader system

    S.N. Srihari;E.J. Kuebert

  • System to achieve automatic recognition of linguistic strings

    Sargur N. Srihari;Jonathan J. Hull

  • Variable duration hidden markov model and morphological segmentation for handwritten word recognition

    Mou-Yen Chen;Amlan Kundu;Sargur N. Srihari

  • An architecture for handwritten text recognition systems

    Gyeonghwan Kim;Venu Govindaraju;Sargur N. Srihari

  • A statistical approach to line segmentation in handwritten documents

    Manivannan Arivazhagan;Harish Srinivasan;Sargur N. Srihari

Frequent Co-Authors

Venu Govindaraju
Venu Govindaraju University at Buffalo, State University of New York
Jonathan J. Hull
Jonathan J. Hull Independent Scientist / Consultant, US
Rohini K. Srihari
Rohini K. Srihari University at Buffalo, State University of New York
Tin Kam Ho
Tin Kam Ho IBM (United States)
Marina L. Gavrilova
Marina L. Gavrilova University of Calgary
Dar-Shyang Lee
Dar-Shyang Lee Google (United States)
Bin Zhang
Bin Zhang Icahn School of Medicine at Mount Sinai
Jayaram K. Udupa
Jayaram K. Udupa University of Pennsylvania
Xiaohui Xie
Xiaohui Xie University of California, Irvine
Gabor T. Herman
Gabor T. Herman City University of New York

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