Dr. Venu Govindaraju Profile

Dr. Venu Govindaraju

Director of CUBS at Univ at Buffalo

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Author

Publications (33)

Proceedings Article | 29 May 2014 Paper

Secure fingerprint hashes using subsets of local structures

Tom Effland, Mariel Schneggenburger, Jim Schuler, Bingsheng Zhang, Jesse Hartloff, Jimmy Dobler, Sergey Tulyakov, Atri Rudra, Venu Govindaraju

Proceedings Volume 9075, 90750D (2014) https://doi.org/10.1117/12.2050477

KEYWORDS: Databases, Computer programming, Fuzzy systems, Biometrics, Neodymium, Computer security, Electroluminescent displays, Quantization, Fuzzy logic, Information security

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Proceedings Article | 24 March 2014 Paper

Variational dynamic background model for keyword spotting in handwritten documents

Gaurav Kumar, Safwan Wshah, Venu Govindaraju

Proceedings Volume 9021, 902104 (2014) https://doi.org/10.1117/12.2041244

KEYWORDS: Image segmentation, Data modeling, Feature extraction, Expectation maximization algorithms, Systems modeling, Lawrencium, Detection and tracking algorithms, Target recognition, Statistical modeling, Venus

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Proceedings Article | 31 May 2013 Paper

Security analysis for fingerprint fuzzy vaults

Jesse Hartloff, Maxwell Bileschi, Sergey Tulyakov, Jimmy Dobler, Atri Rudra, Venu Govindaraju

Proceedings Volume 8712, 871204 (2013) https://doi.org/10.1117/12.2016635

KEYWORDS: Fuzzy logic, Computer security, Information security, Biometrics, Quantization, Databases, MATLAB, Cryptography, Binary data, Genetic algorithms

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Proceedings Article | 4 February 2013 Paper

Segmentation-free keyword spotting framework using dynamic background model

Gaurav Kumar, Safwan Wshah, Venu Govindaraju, Sitaram Ramachandrula

Proceedings Volume 8658, 86580H (2013) https://doi.org/10.1117/12.2008597

KEYWORDS: Feature extraction, Image segmentation, Statistical modeling, Systems modeling, Lawrencium, Data modeling, Detection and tracking algorithms, Image quality, Venus, Computer science

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Proceedings Article | 24 January 2012 Paper

An Oracle-based co-training framework for writer identification in offline handwriting

Utkarsh Porwal, Sreeranga Rajan, Venu Govindaraju

Proceedings Volume 8297, 82970P (2012) https://doi.org/10.1117/12.912221

KEYWORDS: Expectation maximization algorithms, Machine learning, Feature selection, System identification, Analytical research, Optical tracking, Data processing, Oxygen, Algorithm development, Venus

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Proceedings Article | 24 January 2012 Paper

Handwritten document age classification based on handwriting styles

Chetan Ramaiah, Gaurav Kumar, Venu Govindaraju

Proceedings Volume 8297, 82970Q (2012) https://doi.org/10.1117/12.912215

KEYWORDS: Feature extraction, Distance measurement, Image enhancement, Venus, Computer science, Computer engineering, Analytical research, Computer programming, Spectroscopy, Machine learning

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Proceedings Article | 24 January 2011 Paper

Automatic identification of ROI in figure images toward improving hybrid (text and image) biomedical document retrieval

Daekeun You, Sameer Antani, Dina Demner-Fushman, Md Mahmudur Rahman, Venu Govindaraju, George Thoma

Proceedings Volume 7874, 78740K (2011) https://doi.org/10.1117/12.873434

KEYWORDS: Image retrieval, Biomedical optics, Feature extraction, Image segmentation, Visualization, Edge detection, Magnetorheological finishing, Ions, Neodymium, Medicine

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Proceedings Article | 24 January 2011 Paper

Binarization of camera-captured document using A MAP approach

Xujun Peng, Srirangaraj Setlur, Venu Govindaraju, Ramachandrula Sitaram

Proceedings Volume 7874, 78740R (2011) https://doi.org/10.1117/12.874091

KEYWORDS: Image segmentation, Cameras, Magnetorheological finishing, Optical character recognition, Image processing algorithms and systems, Image processing, Lutetium, Detection and tracking algorithms, Statistical modeling, Control systems

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Proceedings Article | 14 April 2010 Paper

An automated process for deceit detection

Ifeoma Nwogu, Mark Frank, Venu Govindaraju

Proceedings Volume 7667, 76670R (2010) https://doi.org/10.1117/12.851407

KEYWORDS: Eye, Neodymium, Image filtering, Video, Image processing, Sensors, Head, Skin, Detection and tracking algorithms, Eye models

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Proceedings Article | 18 January 2010 Paper

Biomedical article retrieval using multimodal features and image annotations in region-based CBIR

Daekeun You, Sameer Antani, Dina Demner-Fushman, Md Mahmudur Rahman, Venu Govindaraju, George Thoma

Proceedings Volume 7534, 75340V (2010) https://doi.org/10.1117/12.838973

KEYWORDS: Image retrieval, Biomedical optics, Image segmentation, Feature extraction, Magnetorheological finishing, Detection and tracking algorithms, Medicine, Medical imaging, Image processing, Visualization

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Biomedical images are invaluable in establishing diagnosis, acquiring technical skills, and implementing best practices in many areas of medicine. At present, images needed for instructional purposes or in support of clinical decisions appear in specialized databases and in biomedical articles, and are often not easily accessible to retrieval tools. Our goal is to automatically annotate images extracted from scientific publications with respect to their usefulness for clinical decision support and instructional purposes, and project the annotations onto images stored in databases by linking images through content-based image similarity. Authors often use text labels and pointers overlaid on figures and illustrations in the articles to highlight regions of interest (ROI). These annotations are then referenced in the caption text or figure citations in the article text. In previous research we have developed two methods (a heuristic and dynamic time warping-based methods) for localizing and recognizing such pointers on biomedical images. In this work, we add robustness to our previous efforts by using a machine learning based approach to localizing and recognizing the pointers. Identifying these can assist in extracting relevant image content at regions within the image that are likely to be highly relevant to the discussion in the article text. Image regions can then be annotated using biomedical concepts from extracted snippets of text pertaining to images in scientific biomedical articles that are identified using National Library of Medicine's Unified Medical Language System® (UMLS) Metathesaurus. The resulting regional annotation and extracted image content are then used as indices for biomedical article retrieval using the multimodal features and region-based content-based image retrieval (CBIR) techniques. The hypothesis that such an approach would improve biomedical document retrieval is validated through experiments on an expert-marked biomedical article dataset.

Proceedings Article | 19 January 2009 Paper

Script identification of handwritten word images

Anurag Bhardwaj, Huaigu Cao, Venu Govindaraju

Proceedings Volume 7247, 72470Z (2009) https://doi.org/10.1117/12.805682

KEYWORDS: Image segmentation, Feature extraction, Image classification, System identification, Error analysis, Computing systems, Analytical research, Optical character recognition, Image processing, Neural networks

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Proceedings Article | 16 April 2008 Paper

Behavioral biometrics for verification and recognition of malicious software agents

Roman Yampolskiy, Venu Govindaraju

Proceedings Volume 6943, 694303 (2008) https://doi.org/10.1117/12.773554

KEYWORDS: Artificial intelligence, Behavioral biometrics, Biometrics, Robots, Homeland security, Profiling, Distance measurement, Security technologies, Statistical modeling, Analytical research

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Proceedings Article | 17 March 2008 Paper

Modeling biometric systems using the general pareto distribution (GPD)

Zhixin Shi, Frederick Kiefer, John Schneider, Venu Govindaraju

Proceedings Volume 6944, 69440O (2008) https://doi.org/10.1117/12.778687

KEYWORDS: Biometrics, Data modeling, Statistical analysis, Systems modeling, Biological research, Statistical modeling, Error analysis, Mathematical modeling, Data analysis, Solids

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Proceedings Article | 17 March 2008 Paper

Generation of artificial biometric data enhanced with contextual information for game strategy-based behavioral biometrics

Roman Yampolskiy, Venu Govindaraju

Proceedings Volume 6944, 69440N (2008) https://doi.org/10.1117/12.774388

KEYWORDS: Biometrics, Behavioral biometrics, Databases, Computer security, Data modeling, Computer simulations, Computer intrusion detection, Feature extraction, Statistical analysis, Data centers

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Proceedings Article | 17 March 2008 Paper

Selecting optimal classification features for SVM based elimination of incorrectly matched minutiae

Praveer Mansukhani, Venu Govindaraju

Proceedings Volume 6944, 69440U (2008) https://doi.org/10.1117/12.778684

KEYWORDS: Feature selection, Feature extraction, Classification systems, Detection and tracking algorithms, Sensors, Databases, Data modeling, Biometrics, Image sensors, Protactinium

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Proceedings Article | 28 January 2008 Paper

Form classification

K. V. Umamaheswara Reddy, Venu Govindaraju

Proceedings Volume 6815, 68150Y (2008) https://doi.org/10.1117/12.766737

KEYWORDS: Image classification, Databases, Binary data, Library classification systems, Error analysis, Principal component analysis, Data archive systems, Expectation maximization algorithms, Visualization, Computer simulations

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Proceedings Article | 28 January 2008 Paper

An OCR based approach for word spotting in Devanagari documents

Anurag Bhardwaj, Suryaprakash Kompalli, Srirangaraj Setlur, Venu Govindaraju

Proceedings Volume 6815, 68150O (2008) https://doi.org/10.1117/12.767289

KEYWORDS: Optical character recognition, Image segmentation, Image filtering, Feature extraction, Image quality, Venus, Biometrics, Sensors, Electronic imaging, Image processing

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Proceedings Article | 28 January 2008 Paper

Transcript mapping for handwritten English documents

Damien Jose, Anurag Bharadwaj, Venu Govindaraju

Proceedings Volume 6815, 68150M (2008) https://doi.org/10.1117/12.766489

KEYWORDS: Image segmentation, Detection and tracking algorithms, Image processing algorithms and systems, Associative arrays, Computer programming, Image processing, Feature extraction, Digital libraries, Automatic alignment, Machine learning

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Proceedings Article | 12 April 2007 Paper

Roman Yampolskiy, Venu Govindaraju

Proceedings Volume 6539, 65390P (2007) https://doi.org/10.1117/12.719008

KEYWORDS: Biometrics, Mahalanobis distance, Behavioral biometrics, Detection and tracking algorithms, Computing systems, Computer security, Databases, Pattern recognition, Spatial frequencies, Information security

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Proceedings Article | 12 April 2007 Paper

Using support vector machines to eliminate false minutiae matches during fingerprint verification

Praveer Mansukhani, Sergey Tulyakov, Venu Govindaraju

Proceedings Volume 6539, 65390B (2007) https://doi.org/10.1117/12.720769

KEYWORDS: Feature extraction, Biometrics, Databases, Sensors, Protactinium, Algorithm development, Error analysis, Venus, Fingerprint recognition, Particle filters

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Proceedings Article | 29 January 2007 Paper

Transcript mapping for handwritten Arabic documents

Liana Lorigo, Venu Govindaraju

Proceedings Volume 6500, 65000W (2007) https://doi.org/10.1117/12.696140

KEYWORDS: Databases, Image segmentation, Automatic alignment, Image processing, Distance measurement, Computing systems, Binary data, Venus, Biometrics, Sensors

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Proceedings Article | 17 April 2006 Paper

Use of behavioral biometrics in intrusion detection and online gaming

Roman Yampolskiy, Venu Govindaraju

Proceedings Volume 6202, 62020U (2006) https://doi.org/10.1117/12.665082

KEYWORDS: Computer intrusion detection, Behavioral biometrics, Network security, Computer security, Computing systems, Biometrics, Databases, Operating systems, Internet, Reliability

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Proceedings Article | 28 March 2005 Paper

Efficient search and retrieval in biometric databases

Amit Mhatre, Srinivas Palla, Sharat Chikkerur, Venu Govindaraju

Proceedings Volume 5779, (2005) https://doi.org/10.1117/12.604173

KEYWORDS: Biometrics, Databases, Visualization

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Proceedings Article | 23 February 2005 Paper

Mouse-based signature verification for secure Internet transactions

Hansheng Lei, Srinivas Palla, Venu Govindaraju

Proceedings Volume 5673, (2005) https://doi.org/10.1117/12.585891

KEYWORDS: Internet, Tablets, Biometrics, Databases, Prototyping, Network security, Sensors, Iris, Retina, Scanners

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Proceedings Article | 17 January 2005 Paper

Historical document image segmentation using background light intensity normalization

Zhixin Shi, Venu Govindaraju

Proceedings Volume 5676, (2005) https://doi.org/10.1117/12.585545

KEYWORDS: Image enhancement, Image segmentation, Detection and tracking algorithms, Image quality, Image processing, Image processing algorithms and systems, Optical character recognition, Cameras, Light sources, Binary data

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Proceedings Article | 17 January 2005 Paper

On the challenges that handwritten text images pose to computers and new practical applications

Amalia Rusu, Venu Govindaraju

Proceedings Volume 5676, (2005) https://doi.org/10.1117/12.586350

KEYWORDS: Computing systems, Computer security, Detection and tracking algorithms, Optical character recognition, Software, Image segmentation, Associative arrays, Databases, Genetic algorithms, Web services

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Proceedings Article | 25 August 2004 Paper

Fingerprint image enhancement method using directional median filter

Chaohong Wu, Zhixin Shi, Venu Govindaraju

Proceedings Volume 5404, (2004) https://doi.org/10.1117/12.542200

KEYWORDS: Image filtering, Digital filtering, Image enhancement, Anisotropic filtering, Image quality, Image processing, Image restoration, Image segmentation, Biometrics, Feature extraction

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Proceedings Article | 25 August 2004 Paper

Security and matching of partial fingerprint recognition systems

Tsai-Yang Jea, Viraj Chavan, Venu Govindaraju, John Schneider

Proceedings Volume 5404, (2004) https://doi.org/10.1117/12.542338

KEYWORDS: Fingerprint recognition, Image enhancement, Databases, Tolerancing, Scanners, System identification, Distance measurement, Information security, Biometrics, Feature extraction

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Proceedings Article | 21 December 2000 Paper

Secondary classification using key features

Venu Govindaraju, Zhixin Shi, A. Teredesai

Proceedings Volume 4307, (2000) https://doi.org/10.1117/12.410846

KEYWORDS: Image classification, Prototyping, Feature selection, Genetic algorithms, Reliability, Neural networks, Feature extraction, Optical character recognition, Genetics, Computer science

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Proceedings Article | 20 December 1999 Paper

Translingual OCR by template correlations

Srirangaraj Setlur, Venu Govindaraju

Proceedings Volume 3964, (1999) https://doi.org/10.1117/12.373472

KEYWORDS: Optical character recognition, Internet, Image processing, System identification, Absorbance, Computer programming, Binary data, Lithium

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Proceedings Article | 7 March 1996 Paper

Efficient chain-code-based image manipulation for handwritten word recognition

Gyeonghwan Kim, Venu Govindaraju

Proceedings Volume 2660, (1996) https://doi.org/10.1117/12.234708

KEYWORDS: Image segmentation, Feature extraction, Image compression, Image processing, Image processing algorithms and systems, Algorithm development, Computer programming, Quantization, Data centers, Statistical analysis

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Proceedings Article | 7 March 1996 Paper

Holistic lexicon reduction for handwritten word recognition

Sriganesh Madhvanath, Venu Govindaraju

Proceedings Volume 2660, (1996) https://doi.org/10.1117/12.234704

KEYWORDS: Feature extraction, Shape analysis, Detection and tracking algorithms, Image segmentation, Analytical research, Binary data, Statistical analysis, Distance measurement, Raster graphics, Venus

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Proceedings Article | 7 March 1996 Paper

Assessment of image quality to predict readability of documents

Venu Govindaraju, Sargur Srihari

Proceedings Volume 2660, (1996) https://doi.org/10.1117/12.234714

KEYWORDS: Image quality, Image enhancement, Optical character recognition, Quality measurement, Image processing, Scanners, Detection and tracking algorithms, Modulation transfer functions, Medical imaging, Image compression

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Showing 5 of 33 publications

Conference Committee Involvement (4)

Biometric Technology for Human Identification IX

23 April 2012 | Baltimore, Maryland, United States

Biometric Technology for Human Identification VIII

25 April 2011 | Orlando, Florida, United States

Biometric Technology for Human Identification VII

5 April 2010 | Orlando, Florida, United States

Biometric Technology for Human Identification IV

9 April 2007 | Orlando, Florida, United States

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