Dr. Sargur N. Srihari Profile

Dr. Sargur N. Srihari

Director of Cedar at Univ at Buffalo

SPIE Involvement:

Author

Publications (50)

Proceedings Article | 8 February 2015 Paper

Missing value imputation: with application to handwriting data

Zhen Xu, Sargur Srihari

Proceedings Volume 9402, 94020P (2015) https://doi.org/10.1117/12.2075842

KEYWORDS: Expectation maximization algorithms, Analytical research, Neodymium, Statistical analysis, Machine learning, Data analysis, Statistical modeling, Visualization, Data modeling, Pattern recognition

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Proceedings Article | 24 March 2014 Paper

Probabilistic modeling of children's handwriting

Mukta Puri, Sargur Srihari, Lisa Hanson

Proceedings Volume 9021, 902103 (2014) https://doi.org/10.1117/12.2042419

KEYWORDS: Distance measurement, Statistical analysis, Printing, Error analysis, Forensic science, Statistical modeling, Chlorine, Astatine, Electronic imaging, Current controlled current source

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Proceedings Article | 4 February 2013 Paper

Combining evidence using likelihood ratios in writer verification

Sargur Srihari, Dimitry Kovalenko, Yi Tang, Gregory Ball

Proceedings Volume 8658, 865807 (2013) https://doi.org/10.1117/12.2002458

KEYWORDS: Lawrencium, Distance measurement, Statistical analysis, Forensic science, Laser range finders, Picosecond phenomena, Information operations, Solids, Computer science, Computer engineering

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Proceedings Article | 24 January 2012 Paper

Handwriting individualization using distance and rarity

Yi Tang, Sargur Srihari, Harish Srinivasan

Proceedings Volume 8297, 82970R (2012) https://doi.org/10.1117/12.912035

KEYWORDS: Lawrencium, Binary data, Forensic science, Distance measurement, Statistical analysis, Statistical modeling, Error analysis, Defense and security, Feature extraction, Data modeling

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Proceedings Article | 24 January 2012 Paper

Questioned document workflow for handwriting with automated tools

Krishnanand Das, Sargur Srihari, Harish Srinivasan

Proceedings Volume 8297, 82970K (2012) https://doi.org/10.1117/12.912104

KEYWORDS: Forensic science, Image segmentation, Distance measurement, Image processing, Binary data, Feature extraction, Roads, Computational forensics, Current controlled current source, Distortion

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Proceedings Article | 24 January 2011 Paper

Statistical characterization of handwriting characteristics using automated tools

Gregory Ball, Sargur Srihari

Proceedings Volume 7874, 78740H (2011) https://doi.org/10.1117/12.876536

KEYWORDS: Forensic science, Feature extraction, Statistical analysis, Analytical research, Databases, Yield improvement, Electronic imaging, Current controlled current source, Defense and security, Statistical modeling

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Proceedings Article | 18 January 2010 Paper

Comparison of historical documents for writership

Gregory Ball, Danjun Pu, Roger Stritmatter, Sargur Srihari

Proceedings Volume 7534, 75340P (2010) https://doi.org/10.1117/12.839923

KEYWORDS: Forensic science, Image segmentation, Binary data, Adaptive optics, Pattern recognition, Legal, Statistical analysis, Data modeling, Computing systems, Optical character recognition

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Proceedings Article | 18 January 2010 Paper

Analysis of line structure in handwritten documents using the Hough transform

Gregory Ball, Harish Kasiviswanathan, Sargur Srihari, Aswin Narayanan

Proceedings Volume 7534, 75340Z (2010) https://doi.org/10.1117/12.839930

KEYWORDS: Hough transforms, Edge detection, Gaussian filters, Image segmentation, Binary data, Analytical research, Detection and tracking algorithms, Electronic imaging, Current controlled current source, Image analysis

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Proceedings Article | 19 January 2009 Paper

Comparison of statistical models for writer verification

Sargur Srihari, Gregory Ball

Proceedings Volume 7247, 72470E (2009) https://doi.org/10.1117/12.806077

KEYWORDS: Image segmentation, Statistical analysis, Statistical modeling, Performance modeling, Lawrencium, Feature extraction, Binary data, Distance measurement, Principal component analysis, Data modeling

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Proceedings Article | 19 January 2009 Paper

Identification of forgeries in handwritten petitions for ballot propositions

Sargur Srihari, Veshnu Ramakrishnan, Manavender Malgireddy, Gregory Ball

Proceedings Volume 7247, 72470S (2009) https://doi.org/10.1117/12.805597

KEYWORDS: Image segmentation, Computer programming, Image processing algorithms and systems, Detection and tracking algorithms, Feature extraction, Distance measurement, Image processing, Evolutionary algorithms, Analytical research, Associative arrays

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Proceedings Article | 28 January 2008 Paper

Writer adaptation in off-line Arabic handwriting recognition

Gregory Ball, Sargur Srihari

Proceedings Volume 6815, 681505 (2008) https://doi.org/10.1117/12.767578

KEYWORDS: Prototyping, Detection and tracking algorithms, Data modeling, Image segmentation, Databases, Feature extraction, Yield improvement, Optical character recognition, Electronic imaging, Machine learning

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Proceedings Article | 28 January 2008 Paper

Robust line segmentation for handwritten documents

Kamal Kuzhinjedathu, Harish Srinivasan, Sargur Srihari

Proceedings Volume 6815, 68150C (2008) https://doi.org/10.1117/12.766701

KEYWORDS: Image segmentation, Detection and tracking algorithms, Spine, Image processing algorithms and systems, Statistical methods, Artificial neural networks, Image processing, Electronic imaging, Neurons, Image quality

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Proceedings Article | 28 January 2008 Paper

Word segmentation of off-line handwritten documents

Chen Huang, Sargur Srihari

Proceedings Volume 6815, 68150E (2008) https://doi.org/10.1117/12.767055

KEYWORDS: Image segmentation, Distance measurement, Neural networks, Detection and tracking algorithms, Machine learning, Databases, Feature extraction, Image processing algorithms and systems, Computer science, Computer engineering

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Proceedings Article | 12 April 2007 Paper

Use of ridge points in partial fingerprint matching

Gang Fang, Sargur Srihari, Harish Srinivasan, Prasad Phatak

Proceedings Volume 6539, 65390D (2007) https://doi.org/10.1117/12.718941

KEYWORDS: Databases, Biometrics, Forensic science, Statistical modeling, Performance modeling, Tolerancing, Computer simulations, Biological research, Fingerprint recognition, Detection and tracking algorithms

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Proceedings Article | 29 January 2007 Paper

Segmentation and labeling of documents using conditional random fields

Shravya Shetty, Harish Srinivasan, Matthew Beal, Sargur Srihari

Proceedings Volume 6500, 65000U (2007) https://doi.org/10.1117/12.704410

KEYWORDS: Image segmentation, Data modeling, Nickel, Neural networks, Feature extraction, Image retrieval, Performance modeling, Lithium, Image processing algorithms and systems, Neurons

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Proceedings Article | 29 January 2007 Paper

A statistical approach to line segmentation in handwritten documents

Manivannan Arivazhagan, Harish Srinivasan, Sargur Srihari

Proceedings Volume 6500, 65000T (2007) https://doi.org/10.1117/12.704538

KEYWORDS: Image segmentation, Detection and tracking algorithms, Image processing algorithms and systems, Switches, Mirrors, Statistical analysis, Electronic imaging, Binary data, Matrices, Statistical modeling

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Proceedings Article | 17 April 2006 Paper

Comparison of ROC-based and likelihood methods for fingerprint verification

Harish Srinivasan, Sargur Srihari, Matthew Beal, Prasad Phatak, Gang Fang

Proceedings Volume 6202, 620209 (2006) https://doi.org/10.1117/12.665596

KEYWORDS: Statistical modeling, Error analysis, Databases, Feature extraction, Biometrics, Forensic science, Distance measurement, Image quality, Receivers, Statistical analysis

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The fingerprint verification task answers the question of whether or not two fingerprints belongs to the same finger. The paper focuses on the classification aspect of fingerprint verification. Classification is the third and final step after after the two earlier steps of feature extraction, where a known set of features (minutiae points) have been extracted from each fingerprint, and scoring, where a matcher has determined a degree of match between the two sets of features. Since this is a binary classification problem involving a single variable, the commonly used threshold method is related to the so-called receiver operating characteristics (ROC). In the ROC approach the optimal threshold on the score is determined so as to determine match or non-match. Such a method works well when there is a well-registered fingerprint image. On the other hand more sophisticated methods are needed when there exists a partial imprint of a finger- as in the case of latent prints in forensics or due to limitations of the biometric device. In such situations it is useful to consider classification methods based on computing the likelihood ratio of match/non-match. Such methods are commonly used in some biometric and forensic domains such as speaker verification where there is a much higher degree of uncertainty. This paper compares the two approaches empirically for the fingerprint classification task when the number of available minutiae are varied. In both ROC-based and likelihood ratio methods, learning is from a general population of ensemble of pairs, each of which is labeled as being from the same finger or from different fingers. In the ROC-based method the best operating point is derived from the ROC curve. In the likelihood method the distributions of same finger and different finger scores are modeled using Gaussian and Gamma distributions. The performances of the two methods are compared for varying numbers of minutiae points available. Results show that the likelihood method performs better than the ROC-based method when fewer minutiae points are available. Both methods converge to the same accuracy as more minutiae points are available.

Proceedings Article | 16 January 2006 Paper

Spotting words in handwritten Arabic documents

Sargur Srihari, Harish Srinivasan, Pavithra Babu, Chetan Bhole

Proceedings Volume 6067, 606702 (2006) https://doi.org/10.1117/12.643107

KEYWORDS: Image segmentation, Prototyping, Databases, Binary data, Human-machine interfaces, Neural networks, Image retrieval, Image processing algorithms and systems, Image processing, Associative arrays

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Proceedings Article | 16 January 2006 Paper

Combining one- and two-dimensional signal recognition approaches to off-line signature verification

Siyuan Chen, Sargur Srihari

Proceedings Volume 6067, 606701 (2006) https://doi.org/10.1117/12.642983

KEYWORDS: Feature extraction, Binary data, Image segmentation, Stereolithography, Shape analysis, Detection and tracking algorithms, Performance modeling, Optical character recognition, Databases, Image enhancement

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Proceedings Article | 20 May 2005 Paper

Machine learning approaches for person identification and verification

Harish Srinivasan, Matthew Beal, Sargur Srihari

Proceedings Volume 5778, (2005) https://doi.org/10.1117/12.601987

KEYWORDS: Error analysis, Biometrics, Machine learning, Distance measurement, Feature extraction, Binary data, Forensic science, Homeland security, Statistical modeling, Databases

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Proceedings Article | 17 January 2005 Paper

Search engine for handwritten documents

Sargur Srihari, Chen Huang, Harish Srinivasan

Proceedings Volume 5676, (2005) https://doi.org/10.1117/12.585883

KEYWORDS: Image segmentation, Feature extraction, Image retrieval, Distance measurement, Binary data, Databases, Forensic science, Document management, Visualization, Digital libraries

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Proceedings Article | 15 December 2003 Paper

Word image retrieval using binary features

Bin Zhang, Sargur Srihari, Chen Huang

Proceedings Volume 5296, (2003) https://doi.org/10.1117/12.523968

KEYWORDS: Image retrieval, Feature extraction, Binary data, Medical imaging, Databases, Image segmentation, Statistical modeling, Genetics, Medicine, Computer science

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Proceedings Article | 15 December 2003 Paper

Group discriminatory power of handwritten characters

Catalin Tomai, Devika Kshirsagar, Sargur Srihari

Proceedings Volume 5296, (2003) https://doi.org/10.1117/12.527276

KEYWORDS: Databases, Forensic science, Binary data, Distance measurement, Computer science, Computer engineering, Electronic imaging, Optical character recognition, Feature extraction, Receivers

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Proceedings Article | 13 January 2003 Paper

Binary vector dissimilarity measures for handwriting identification

Bin Zhang, Sargur Srihari

Proceedings Volume 5010, (2003) https://doi.org/10.1117/12.473347

KEYWORDS: Binary data, Forensic science, Feature extraction, Pattern recognition, Distance measurement, Computer science, Computer engineering, Image retrieval, Statistical analysis, Electronic imaging

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Proceedings Article | 18 December 2001 Paper

Discriminatory power of handwriting

Sargur Srihari, Sung-Hyuk Cha, Sangjik Lee

Proceedings Volume 4670, (2001) https://doi.org/10.1117/12.450722

KEYWORDS: Feature extraction, Image segmentation, Error analysis, Statistical modeling, Forensic science, Statistical analysis, Binary data, Machine learning, Prototyping, Image processing

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Proceedings Article | 18 December 2001 Paper

Combining macro and micro features for writer identification

Sangjik Lee, Sung-Hyuk Cha, Sargur Srihari

Proceedings Volume 4670, (2001) https://doi.org/10.1117/12.450724

KEYWORDS: Feature extraction, Image segmentation, Databases, Statistical modeling, Software, Prototyping, System identification, Binary data, Forensic science, Image processing

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Proceedings Article | 21 December 2000 Paper

Handwritten document image database construction and retrieval system

Sung-Hyuk Cha, Sargur Srihari

Proceedings Volume 4307, (2000) https://doi.org/10.1117/12.410836

KEYWORDS: Databases, Image retrieval, Image segmentation, Feature extraction, Document management, Displays, Document image analysis, Prototyping, Distance measurement, Data centers

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Proceedings Article | 22 December 1999 Paper

Approximate string matching for stroke direction and pressure sequences

Sung-Hyuk Cha, Yong-Chul Shin, Sargur Srihari

Proceedings Volume 3967, (1999) https://doi.org/10.1117/12.373481

KEYWORDS: Distance measurement, Detection and tracking algorithms, Prototyping, Silicon, Computer programming, Transform theory, Optical character recognition, Image segmentation, Data acquisition, Head

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Proceedings Article | 3 April 1997 Paper

Use of document structure analysis to retrieve information from documents in digital libraries

Debashish Niyogi, Sargur Srihari

Proceedings Volume 3027, (1997) https://doi.org/10.1117/12.270074

KEYWORDS: Digital libraries, Analytical research, Databases, Image processing, Optical character recognition, Photography, Control systems, Rule based systems, Raster graphics, Image segmentation

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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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Proceedings Article | 7 March 1996 Paper

Reading handprinted addresses on IRS tax forms

Vemulapati Ramanaprasad, Yong-Chul Shin, Sargur Srihari

Proceedings Volume 2660, (1996) https://doi.org/10.1117/12.234706

KEYWORDS: Image segmentation, Detection and tracking algorithms, Databases, Optical character recognition, Image processing algorithms and systems, Computing systems, Feature extraction, Computer science, Infrared imaging, Binary data

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Proceedings Article | 7 March 1996 Paper

Using domain knowledge to derive the logical structure of documents

Debashish Niyogi, Sargur Srihari

Proceedings Volume 2660, (1996) https://doi.org/10.1117/12.234696

KEYWORDS: Rule based systems, Image processing, Image segmentation, Bismuth, Control systems, Image analysis, Photography, Analytical research, Image understanding, Digital libraries

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Proceedings Article | 7 March 1996 Paper

Unified approach toward text recognition

Tao Hong, Jonathan Hull, Sargur Srihari

Proceedings Volume 2660, (1996) https://doi.org/10.1117/12.234720

KEYWORDS: Image segmentation, Visualization, Optical character recognition, Bismuth, Visual analytics, Image processing, Detection and tracking algorithms, Image processing algorithms and systems, Information visualization, Stereolithography

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Proceedings Article | 7 March 1996 Paper

Character recognition in a Japanese text recognition system

Tao Hong, Geetha Srikantan, V. Zandy, Chi Fang, Sargur Srihari

Proceedings Volume 2660, (1996) https://doi.org/10.1117/12.234723

KEYWORDS: Prototyping, Optical character recognition, Databases, Compact discs, Image segmentation, Distance measurement, Classification systems, Error analysis, Detection and tracking algorithms, Feature extraction

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