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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 19 of 19 1 Script independent word spotting in multilingual documents Anurag Bhardwaj; Damien Jose; Venu Govindaraju In: http://www.mt-archive.info/IJCNLP-2008-Bhardwaj.pdf (2008) BASE Show details 2 On the Dependence of Handwritten Word Recognizers on Lexicons Hanhong Xue; Venu Govindaraju In: http://www-student.cse.buffalo.edu/~hxue/academic/perflex.pdf (2002) BASE Show details 3 Medical Word Recognition Using a Computational Semantic Lexicon Robert Milewski; Venu Govindaraju In: http://www.cs.berkeley.edu/~daf/appsem/Handwriting/papers/Medical_Word_2002.pdf (2002) BASE Show details 4 Use of lexicon density in evaluating word recognizers Venu Govindaraju; Petr Slavík; Hanhong Xue In: http://www.cubs.buffalo.edu/govind/lexd.pdf (2000) BASE Show details 5 Use of Lexicon Density in Evaluating Word Recognizers Venu Govindaraju; Petr Slavik; Hanhong Xue In: http://www-student.cse.buffalo.edu/~hxue/academic/lexden.ps.gz (2000) BASE Show details 6 Using Lexical Similarity in Handwritten Word Recognition Jaehwa Park; Venu Govindaraju In: http://www.cedar.buffalo.edu/~jaehwap/papers/cvpr00.01.pdf (2000) Abstract: Recognition using only visual evidence cannot always be successful due to limitations of information and resources available during training. Considering relation among lexicon entries is sometimes useful for decision making. In this paper, we present a method to capture lexical similarity of a lexicon and reliability of a character recognizer which serve to capture the dynamism of the environment. A parameter, lexical similarity, is defined by measuring these two factors as edit distance between lexicon entries and separability of each character's recognition results. Our experiments show that a utility function considering lexical similarity in a decision stage can enhance the performance of a conventional word recognizer. 1 Introduction Shapes of characters in handwriting vary widely. Some of the variation in the shpae of handwriting are categorized and methods to normalize the variations have been developed in previous literature [1]. However, still the variation of character sha. URL: http://www.cedar.buffalo.edu/~jaehwap/papers/cvpr00.01.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.33.3639 BASE Hide details 7 Using lexical similarity in handwritten word recognition Jaehwa Park; Venu Govindaraju In: http://www.cedar.buffalo.edu/papers/articles/Using_Lexical_2000.pdf (2000) BASE Show details 8 Efficient word segmentation driven by unconstrained handwritten phrase recognition Jaehwa Park; Venu Govindaraju; Sargur N. Srihari In: http://www.cedar.buffalo.edu/~jaehwap/papers/icdar99.pdf (1999) BASE Show details 9 A lexicon driven approach to handwritten word recognition for real-time applications Gyeonghwan Kim; Venu Govindaraju In: http://www.cedar.buffalo.edu/~govind/papers/kg97.pdf (1997) BASE Show details 10 Document Understanding: Research Directions Sargur Srihari; Stephen Lam; Venu Govindaraju... In: http://www.cedar.buffalo.edu/Publications/Postscript/Survey.ps (1992) BASE Show details 11 Template-free word spotting in low-quality manuscripts Huaigu Cao; Venu Govindaraju In: http://www.cedar.buffalo.edu/~govind/icapr07.pdf BASE Show details 12 Automatic Recognition of Handwritten Medical Forms for Search Engines Robert Jay; Milewski E-mail; Venu Govindaraju E-mail... In: http://www.cedar.buffalo.edu/~govind/papers/milewski_revised.pdf BASE Show details 13 Automatic Recognition of Handwritten Medical Forms for Search Engines Robert Jay Milewski; Student Member Ieee; Venu Govindaraju... In: http://www.cedar.buffalo.edu/~govind/milewski-reviewer-submission-pami-v2.pdf BASE Show details 14 Emergency Medicine, Disease Surveillance, and Venu Govindaraju In: http://diggov.org/library/library/dgo2005/techevaluation/govindaraju_emergency.pdf BASE Show details 15 A Probabilistic Method for Keyword Retrieval in Handwritten Document Images Huaigu Cao; Anurag Bhardwaj; Venu Govindaraju In: http://www.cedar.buffalo.edu/~govind/papers/cbg08.pdf BASE Show details 16 2009 10th International Conference on Document Analysis and Recognition Segmentation of Arabic Handwriting based on both Contour and Skeleton Segmentation Safwan Wshah; Zhixin Shi; Venu Govindaraju In: http://www.cvc.uab.es/icdar2009/papers/3725a793.pdf BASE Show details 17 Score Aggregation from Multiple Sources and Training in the Context of Lexicon Reduction Using Holistic Features Sriganesh Madhvanath; Venu Govindaraju In: http://www.iiit.ac.in/research/cvit/icvgip00/./M-51.pdf BASE Show details 18 Script Independent Word Spotting in Multilingual Documents Anurag Bhardwaj; Damien Jose; Venu Govindaraju In: http://search.iiit.ac.in/CLIA2008/clia08pdf/I08-0407.pdf BASE Show details 19 2010 International Conference on Pattern Recognition A Framework for Hand Gesture Recognition and Spotting Using Sub-gesture Modeling Manavender R. Malgireddy; Venu Govindaraju; Jason J. Corso... In: http://www.cse.buffalo.edu/%7Ejcorso/pubs/icpr2010_gestures.pdf BASE Show details

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