1.1 The Nature Of Handwriting (2009)
Rejean Plamondon, Sargur N. Srihari
Abstract-Handwriting has continued to persist as a means of communication and recording information in day-to-day life even with the introduction of new technologies. Given its ubiquity in human...
Spotting words in Latin, Devanagari and Arabic scripts. Vivek: A Quarterly in (2008)
Sargur N. Srihari, Harish Srinivasan, Chen Huang, Shravya Shetty
A system for spotting words in scanned document images in three scripts, Devanagari, Arabic and Latin is described. Three main components of the system are a word segmenter, a shape based matcher for...
Biometric and Forensic Aspects of Digital Document Processing (2008)
Sargur N. Srihari, Chen Huang, Harish Srinivasan, Vivek Shah
Abstract. Signatures and handwriting have long played a role in dayto-day business transactions and in forensics, e.g., to authenticate documents, as evidence to establish crime or innocence, etc....
Machine Learning Srihari (2008)
Sargur N. Srihari, Sequential Data Hmms
• Programming computers to use example data or past experience • Well-Posed Learning Problems – A computer program is said to learn from experience E – with respect to class of tasks T and...
Word Segmentation of Off-line Handwritten Documents (2008)
Word segmentation is the most critical pre-processing step for any handwritten document recognition/retrieval system. This paper describes an approach to separate a line of unconstrained (written in...
Versatile Search of Scanned Arabic Handwriting (2008)
Sargur N. Srihari, Gregory R. Ball, Harish Srinivasan
Searching scanned handwritten documents is a relatively unexplored frontier for documents in any language. In the general search literature retrieval methods are described as being either image-based...
Parsing, Discriminative language modeling (2008)
Zone labeling, pixel labeling, character labeling
H.: Generative models for fingerprint individuality using ridge types (2008)
Gang Fang, Sargur N. Srihari, Harish Srinivasan
Generative models of pattern individuality attempt to represent the distribution of observed quantitative features, e.g., by learning parameters from a database, and then use such distributions to...
Generative-Discriminative Pairs (2008)
Sargur N. Srihari, Sequential Models, Discriminative Methods
– Model class-conditional pdfs and prior probabilities – “Generative ” since sampling can generate synthetic data points – Popular models • Gaussians, Naïve Bayes, Mixtures of...
REVIEW ARTICLE Offline Chinese handwriting recognition: an assessment of current technology (2008)
Sargur N. Srihari, Xuanshen Yang, Gregory R. Ball
Abstract Offline Chinese handwriting recognition (OCHR) is a typically difficult pattern recognition problem. Many authors have presented various approaches to recognizing its different aspects. We...
Segmentation-Based And Segmentation-Free Methods for Spotting Handwritten Arabic Words (2008)
Gregory R. Ball, Sargur N. Srihari, Harish Srinivasan
Given a set of handwritten documents, a common goal is to search for a relevant subset. Attempting to find a query word or image in such a set of documents is called word spotting. Spotting...
Chapter 2 Written Language Input 2.1 Overview (2008)
Sargur N. Srihari, Rohini K. Srihari
The written form of language is contained in printed documents, such as newspapers, magazines and books, and in handwritten matter, such as found in notebooks and personal letters. Given the...
Sargur N. Srihari, Edward J. Kuebert
Hand-written address interpretation (HWAI) technology has been recently incorporated into the processing of letter mail by the United States Postal Service. The Remote Bar Coding System, which is an...
Tin Kam Ho, Jonathan J. Hull, Sargur N. Srihari, Senior Member
Abstract-A multiple classifier system is a powerful solution to difficult pattern recognition problems involving large class sets and noisy input because it allows simultaneous use of arbitrary...
Sargur N. Srihari, Rohini K. Srihari
The written form of language is contained in printed documents, such as newspapers, magazines and books, and in handwritten matter, such as found in notebooks and personal letters. Given the...
Properties of Binary Vector Dissimilarity Measures (2008)
This study is to examine the metric or non-metric properties of binary vector dissimilarity measures, on which no comprehensive research has been conducted so far. Especially, the triangle-inequality...
Machine Learning for Signature Verification (2008)
Harish Srinivasan, Sargur N. Srihari, Matthew J. Beal
Abstract. Signature verification is a common task in forensic document analysis. It is one of determining whether a questioned signature matches known signature samples. From the viewpoint of...
Sung-hyuk Cha, Charles C. Tappert, Sargur N. Srihari
Classifying an unknown input is a fundamental problem in pattern recognition. A common method is to define a distance metric between patterns and find the most similar pattern in the reference set....
The Application Of Word Image Matching In Text Recognition (2007)
Siamak Khoubyari, Chairman Dr, Jonathan J. Hull, Member Dr, Sargur N. Srihari
Printed text recognition usually involves recognizing individual characters, and assembling the results to recognize words and sentences. However, the performance of conventional character...
Firm Name Recognition for Automatic Address Interpretation (2007)
Ping-kit Wong, Tin Kam Ho, Sargur N. Srihari
Firm name recognition provides a useful source of information for automatic postal address interpretation. This paper presents two approaches to firm name recognition. The word-based approach treats...
Combination of Structural Classifiers 1 (2007)
Tin Kam Ho, Jonathan J. Hull, Sargur N. Srihari
A technique for combining the results of structural classifiers in a multi-classifier image recognition system is presented. Each classifier produces a ranking of a set of classes. The combination...
Validation of Handwriting Individuality using Distance Measures and (2007)
Sung-hyuk Cha, Major Professor, Sargur N. Srihari, Committee Peter, D. Scott, Ashim Garg
In classification problems such as writer, face, finger print or speaker identification, the number of classes is very large or unspecified. To establish the inherent distinctness of the classes,...
Analysis of Footwear Impression Evidence (2007)
Sargur Srihari, Sargur N. Srihari
Impressions of footwear are commonly found in crime scenes. The quality and wide variability of these impressions makes their analysis difficult. This research will develop new computational methods...
P.: Use of ridge points in partial fingerprint matching (2007)
Gang Fang, Sargur N. Srihari, Harish Srinivasan, Prasad Phatak
Matching of partial fingerprints has important applications in both biometrics and forensics. It is well-known that the accuracy of minutiae-based matching algorithms dramatically decrease as the...
Individuality of Fingerprints: Comparison of Models and Measurements Abstract (2007)
Sargur Srihari, Harish Srinivasan, Sargur N. Srihari, Harish Srinivasan
Over a hundred years, several attempts have been made to quantitatively establish the degree of individuality of fingerprints. Measurements have been made using models based on grids, ridges, fixed...
Use of Language Models in Handwriting Recognition (2007)
Rohini Srihar, Shravya Shetty, Sargur Srihari, Rohini K. Srihari, Shravya Shetty, Sargur N. Srihari
Language models have been extensively used in natural language applications such as speech recognition, part-of-speech tagging, information extraction, etc. To a lesser extent the value of language...
P.: Use of ridge points in partial fingerprint matching (2007)
Gang Fang, Sargur N. Srihari, Harish Srinivasan, Prasad Phatak
Automatic fingerprint identification systems utilize algorithms which extract minutiae information from the input fingerprint – which are ridge endings and ridge bifurcations – and match them...
Offline Chinese Handwriting Recognition: A Survey (2007)
Sargur N. Srihari, Xuanshen Yang, Gregory R. Ball
Offline handwriting Chinese recognition (OHCR) is a typically difficult pattern recognition problem. Many authors have presented various approaches to recognizing different aspects of it. We present...
Mapping Transcripts to Handwritten Text (2006)
Huang, Chen, Srihari, Sargur N.
In the analysis and recognition of handwriting, a useful first task is to assign ground truth for words in the writing. Such an assignment is useful for various subsequent machine learning tasks for...
Segmentation-Based And Segmentation-Free Methods for Spotting Handwritten Arabic Words (2006)
Ball, Gregory R., Srihari, Sargur N., Srinivasan, Harish
Given a set of handwritten documents, a common goal is to search for a relevant subset. Attempting to find a query word or image in such a set of documents is called word spotting. Spotting...
Mapping Transcripts to Handwritten Text (2006)
Huang, Chen, Srihari, Sargur N.
In the analysis and recognition of handwriting, a useful first task is to assign ground truth for words in the writing. Such an assignment is useful for various subsequent machine learning tasks for...
Segmentation-Based And Segmentation-Free Methods for Spotting Handwritten Arabic Words (2006)
Ball, Gregory R., Srihari, Sargur N., Srinivasan, Harish
Given a set of handwritten documents, a common goal is to search for a relevant subset. Attempting to find a query word or image in such a set of documents is called word spotting. Spotting...
Article Discriminability of Fingerprints of Twins (2006)
Sargur N. Srihari, Harish Srinivasan
Abstract: A study of the discriminability of fingerprints of twins is presented. The fingerprint data used is of high quality and quantity because of a predominantly young subject population of 298...
Mapping transcripts to handwritten text (2006)
In the analysis and recognition of handwriting, a useful first task is to assign ground truth for words in the writing. Such an assignment is useful for various subsequent machine learning tasks for...
Document image retrieval using signatures as queries (2006)
Sargur N. Srihari, Shravya Shetty, Siyuan Chen, Harish Srinivasan, Chen Huang
In searching a repository of business documents, a task of interest is that of using a query signature image to retrieve from a database, other signatures matching the query. The signature retrieval...
Writer Demographic Classification using Bagging and Boosting (2005)
Karthik R Bandi, Sargur N Srihari
Abstract. Classifying handwriting into a writer demographic category, e.g., gender, age, or handedness of the writer, is useful for more detailed analysis such as writer verification and...
A Statistical Model for Writer Verification (2005)
Sargur N. Srihari, Matthew J. Beal, Karthik Bandi, Vivek Shah, Praveen Krishnamurthy
A statistical model for determining whether a pair of documents, a known and a questioned, were written by the same individual is proposed. The model has the following four components: (i)...
Signature verification using kolmogorov-smirnov statistic (2005)
Harish Srinivasan, Sargur N. Srihari, Matthew J Beal
Automatic signature verification of scanned documents are presented here. The strat-egy used for verification is applicable in scenarios where there are multiple knowns(genuine signature samples)...
Group Discriminatory Power of Handwritten Characters (2004)
Catalin I. Tomai, Devika M. Kshirsagar, Sargur N. Srihari
Using handwritten characters we address two questions (i) what is the group identification performance of different alphabets (upper and lower case) and (ii) what are the best characters for the...
Learning strategies and classification methods for off-line signature verification (2004)
Sargur N. Srihari, Aihua Xu, Meenakshi K. Kalera
Learning strategies and classification methods for verification of signatures from scanned documents are proposed and evaluated. Learning strategies considered are writerindependent– those that...
Group Discriminatory Power of Handwritten Characters (2004)
Catalin I. Tomai, Bin Zhang, Sargur N. Srihari
Analysis of allographs (characters) and allograph combinations (words) is the key for the identification/verification of a writer’s handwriting. While allographs are usually part of words and the...
Forensic handwritten document retrieval system (2004)
Document storage and retrieval capabilities of the CEDAR-FOX forensic handwritten document examination system are described. The system is designed for automated and semi-automated analysis of...
2003, Individuality of numerals (2003)
Sargur N. Srihari, Catalin I. Tomai, Bin Zhang, Sangjik Lee
The analysis of handwritten documents from the viewpoint of determining their writership has great bearing on the criminal justice system. In many cases, only a limited amount of handwriting is...
Individuality of handwritten characters (2003)
Bin Zhang, Sargur N. Srihari, Sangjik Lee
Analysis of handwritten characters (allographs) plays an important role in forensic document examination. However, so far there lacks a comprehensive and quantitative study on individuality of...
Combination of Type III Digit Recognizers using the Dempster-Shafer Theory of Evidence (2003)
Catalin I. Tomai, Sargur N. Srihari
We investigate the combination of Type-III classifiers using the Dempster-Shafer Theory of Evidence. Various methods of building BPA’s for each classifier using both “global ” and “local ”...
Analysis of handwriting individuality using word features (2003)
Analysis of allographs (characters) and allograph combinations (words) is the key for obtaining the discriminating elements of handwriting. While allographs usually inhabit in words and segregation...
2003, Individuality of numerals (2003)
Sargur N. Srihari, Catalin Tomai, Sangjik Lee, Bin Zhang
The analysis of handwritten documents from the viewpoint of determining their authorship has great bearing on the criminal justice system. In many cases, only a limited amount of handwriting is...
Date Received: 10/10/2001 (2001)
N. Srihari, Sung-hyuk Cha, Hina Arora, Sangjik Lee, Sargur N. Srihari, Sung-hyuk Cha, ...
Award Number: 1999-IJ-CX-K010
OCR in a hierarchical feature space (2000)
Jaehwa Park, Venu Govindaraju, Sargur N. Srihari
This paper describes a character recognition methodology (henceforth referred to as Hierarchical OCR), that achieves high speed and accuracy by using a multi-resolution and hierarchical feature...
Efficient word segmentation driven by unconstrained handwritten phrase recognition (1999)
Jaehwa Park, Venu Govindaraju, Sargur N. Srihari
An efficient system which finds the best match between an input image and a lexicon is presented. To capture writing style of spacing between words and characters prime stroke analysis based on...
Algorithm for the Edit Distance between Angular Type Histograms (1999)
Sung-hyuk Cha, Yong-chul Shin, Yong-chul Shin, Sargur N. Srihari, Sargur N. Srihari
The similarity between two histograms has attracted many researchers in various fields. The type of histograms to be matched is often angular such as hue values in color images and gradient...
Postprocessing of recognized strings using nonstationary Markovian models (1999)
Djamel Bouchaffra, Venu Govindaraju, Senior Member, Sargur N. Srihari
AbstractÐThis paper presents Nonstationary Markovian Models and their application to recognition of strings of tokens. Domain specific knowledge is brought to bear on the application of recognizing...
Information theoretic analysis of postal address fields for automatic address interpretation (1999)
Sargur N. Srihari, Wen-jann Yang, Venugopal Govindaraju
This paper concerns a study of information content in postal address fields for automatic address interpretation. Information provided by a combination of address components and information...
Shapiro, Stuart C., Srihari, Sargur N.
The Northeast Artificial Intelligence Consortium (NAIC) is sponsored by the Air Force Systems command, Rome Air Development Center, and the office of Scientific Research. Its purpose is to conduct...
Srihari, Sargur N., Shapiro, Stuart C., Upadhyaya, Shambhu J.
The Northeast Artificial Intelligence Consortium is to conduct pertinent research in artificial intelligence and to perform activities ancillary to this research. This report describes progress that...
Srihari, Sargur N., Shapiro, Stuart C., Upadhyaya, Shambhu J.
The Northeast Artificial Intelligence Consortium (NAIC) was created by the Air Force Systems Command, Rome Air Development Center, and the Office of Scientific Research. Its purpose was to conduct...
A Methodology for Deriving Probabilistic Correctness Measures from Recognizers (1998)
Djamel Bouchaffra, Venu Govindaraju, Sargur N. Srihari
This paper describes the derivation of probability of correctness from scores assigned by most recognizers. Motivation for this research is three-fold: (i) probability values can be used to rerank...
Deciphering Algorithms for Degraded Document Recognition (1997)
Chi Fang, Chairman Dr, Jonathan J. Hull, Members Dr, Sargur N. Srihari
The research presented in this thesis provides new solutions to two fundamental problems in document recognition. The first problem is character segmentation. Touching characters and character...
Representing Ocred Documents In Html (1997)
Tao Hong And, Tao Hong, Sargur N. Srihari
: OCR is an error-prone process. It is time-consuming and expensivetomanually proofread OCR results. The errors remaining in OCRed texts can cause serious problems in reading and understanding if...
Cherry Blossom: A System for Japanese Character Recognition (1997)
Sargur N. Srihari, Tao Hong, Zhixin Shi
A general purpose Japanese character recognition system, Cherry Blossom, has been developed at CEDAR in past years. It is designed to recognize Japanese document images in low resolution or with poor...
Debashish Niyogi, Sargur N. Srihari
This paper describes an approach to retrieving information from document images stored in a digital library by means of knowledge-based layout analysis and logical structure derivation techniques....
S.Srihari, “The Use of Document structure Analysis to retrieve information from Documents (1997)
Debashish Niyogi, Sargur N. Srihari
This paper describes an approach to retrieving information from document images stored in a digital library by means of knowledge-based layout analysis and logical structure derivation techniques....
An Integrated Approach To Document Decomposition And Structural Analysis (1996)
Debashish Niyogi And, Debashish Niyogi, Sargur N. Srihari
A document image is a visual representation of a paper document, such as a journal article page, a cover page of facsimile transmission, office correspondence, an application form, etc. Document...
Analysis Of Printed Forms (1996)
H. Bunke, Debashish Niyogi, Sargur N. Srihari, Venu Govindaraju
This paperless step may be performed when the user desires. Each unrecognized character and all others within a zone are magnified and displayed in their original image form on the computer screen....
Using Domain Knowledge to Derive the Logical Structure of Documents (1996)
Debashish Niyogi, Sargur N. Srihari
An important aspect of document understanding is document logical structure derivation, which involves knowledge-based analysis of document images to derive a symbolic description of their structure...
A Unified Approach Towards Text Recognition (1996)
Tao Hong, Jonathan J. Hull, Sargur N. Srihari
In our recent research, we found that visual inter-word relations can be useful for different stages of English text recognition such as character segmentation and postprocessing. Different methods...
Degraded Text Recognition Using Visual And Linguistic Context (1995)
Tao Hong, Chairman Dr, Jonathan J. Hull, Members Dr, Sargur N. Srihari, ...
Recognition of degraded text is a challenging problem. To improve the performance of an OCR system on degraded images of text, postprocessing techniques are critical. The objective of postprocessing...
The Design of a Nearest-Neighbor Classifier and Its Use for Japanese Character Recognition (1995)
Tao Hong, Stephen W. Lam, Jonathan J. Hull, Sargur N. Srihari
The nearest neighbor (NN) approach is a powerful nonparametric technique for pattern classification tasks. Although the brute-force NN algorithm is simple and has high accuracy, its computation cost...
Knowledge-Based Derivation of Document Logical Structure (1995)
Debashish Niyogi, Sargur N. Srihari
The analysis of a document image to derive a symbolic description of its structure and contents involves using spatial domain knowledge to classify the different printed blocks (e.g., text...
The Design of a Nearest-Neighbor Classifier and Its Use for Japanese Character Recognition (1995)
Tao Hong, Stephen W. Lam, Jonathan J. Hull, Sargur N. Srihari
The nearest neighbor (NN) approach is a powerful nonparametric technique for pattern classification tasks. In this paper, algorithms for prototype reduction, hierarchical prototype organization and...
A Hypothesis Testing Approach to Word Recognition Using Dynamic Feature Selection (1992)
Liang Li, Tin Kam Ho, Jonathan J. Hull, Sargur N. Srihari
A top-down approach to word recognition is proposed. Discussions are presented on dynamically selecting the most effective feature combinations, which are applied to discriminate between a limited...
On multiple classifier systems for pattern recognition (1992)
Tin Kam Ho, Jonathan J. Hull, Sargur N. Srihari
Difficult pattern recognition problems involving large class sets and noisy input can be solved by a multiple classifier system, which allows simultaneous use of arbitrary feature descriptors and...
Tin Kam Ho, Jonathan J. Hull, Sargur N. Srihari
A regression method is proposed to combine decisions of multiple character recognition algorithms. The method computes a weighted sum of the rank scores produced by the individual classifiers and...
Combination of decisions by multiple classifiers (1992)
Tin Kam Ho, Jonathan J. Hull, Sargur N. Srihari
A technique for combining the results of classifier decisions in a multi-classifier recognition system is presented. Each classifier produces a ranking of a set of classes. The combination technique...
A word shape analysis approach to lexicon based word recognition (1992)
Tin Kam Ho, Jonathan J. Hull, Sargur N. Srihari
A method for word recognition is presented that is based on an analysis of the shape of a word as a whole object. It is demonstrated to be a useful alternative for recognizing degraded word images...
Supervised Image Segmentation (1992)
Shriram Revankar, Sargur N. Srihari, Raj Acharya
Image segmentation is a process of dividing an image into functionally distinct regions. In this thesis we develop a scheme for supervisory verification and modification of the computer generated...
Sargur N. Srihari, Stephen W. Lam
This article describes the design of OCR systems and their applications.
Sargur N. Srihari, Stephen W. Lam
This article describes the design of OCR systems and their applications. 1 OCR Systems A typical OCR system (see Figure 1) contains three logical components: (1) Image scanner (2) OCR...
Word Recognition with Multi-Level Contextual Knowledge (1991)
Tin Kam Ho, Jonathan J. Hull, Sargur N. Srihari
A word recognition algorithm is proposed that integrates character recognition with word shape analysis. The algorithm consists of a set of serial filters and parallel classifiers, and the decisions...
A Word Shape Analysis Approach to Recognition of Degraded Word (1990)
Tin Kam Ho, Jonathan J. Hull, Sargur N. Srihari
This paper presents a word shape analysis approach for word recognition that is independent of character segmentation. The algorithm receives a word image and a lexicon. A set of global and local...
A Computational Theory of Visual Word Recognition (1988)
Jonathan J. Hull, Dr. Sargur N. Srihari
To An-Tzu, with love. Her understanding, advice, encouragement, and support made this possible. iii ACKNOWLEDGEMENTS I would like express my gratitude to the many people who in one way or another...
Optical character recognition techniques in mail sorting: a review of algorithms (1984)
Jonathan J. Hull, Ganapathy Krishnan, Paul Palumbo, Sargur N. Srihari
A study of Optical Character Recognition (OCR) techniques employed in automatic mail sorting equipment is presented. Methods and algorithms for image preprocessing, character recognition, and...
Srihari, Sargur N., Snabb, Thomas, White, Lee J.
The nearest-neighbor and potential function decision rules are nonparametric techniques that partition the feature space based on a set of labelled sample points. Determining whether the partitions...
Identity conditions for nearest-neighbor and potential-function classifiers (1979)
Srihari, Sargur N., White, Lee J., Snabb, Thomas
The nearest-neighbor rule and the potential-function classifier are nonparametric discrimination methods that require the storage of a set of sample patterns. Here, a relationship between the two...
DABQUEST: a data base question-answerer in PL/1, by--Sargur N. Srihari. (1971)
Thesis (M. S.) - Ohio State University.