ICDAR 2007 - PDF Preprint Papers

ICDAR 2007 International Conference on Document Analysis and Recognition

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ICDAR
2007
IEEE

240views Document Analysis» more ICDAR 2007»

Handwritten Word Recognition Using Conditional Random Fields

14 years 5 months ago

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The paper describes a lexicon driven approach for word recognition on handwritten documents using Conditional Random Fields(CRFs). CRFs are discriminative models and do not make a...

Shravya Shetty, Harish Srinivasan, Sargur N. Sriha...

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Id	Views	Title	Status

1	240	Handwritten Word Recognition Using Conditional Random Fields	claim
2	236	Building Compact MQDF Classifier for Off-line Handwritten Chinese Characters by Subspace Distribution Sharing	claim
3	233	Arabic Handwriting Recognition Competition	claim
4	217	An Overview of the Tesseract OCR Engine	claim
5	204	Energy-Based Models in Document Recognition and Computer Vision	claim
6	202	Fast and Accurate Detection of Document Skew and Orientation	claim
7	202	A Multi-Agent System for Hand-drawn Diagram Recognition	claim
8	200	Binarization of Badly Illuminated Document Images through Shading Estimation and Compensation	claim
9	200	Exploiting Fisher Kernels in Decoding Severely Noisy Document Images	claim
10	193	Fast Lexicon-Based Scene Text Recognition with Sparse Belief Propagation	claim
11	191	Skeletonization by Gradient Regularization and Diffusion	claim
12	191	Example-Based Logical Labeling of Document Title Page Images	claim
13	185	Performance Analysis Framework for Layout Analysis Methods	claim
14	184	Using Random Forests for Handwritten Digit Recognition	claim
15	178	A Sparse and Locally Shift Invariant Feature Extractor Applied to Document Images	claim
16	177	Google Book Search: Document Understanding on a Massive Scale	claim
17	176	Document Image Segmentation Using a 2D Conditional Random Field Model	claim
18	175	Camera-Based Graphical Symbol Detection	claim
19	172	Shape-Based Alphabet for Off-line Arabic Handwriting Recognition	claim
20	172	Automatic Document Logo Detection	claim
21	171	Combining On-Line and Off-Line Systems for Handwriting Recognition	claim
22	171	A Case-Based Reasoning Approach for Invoice Structure Extraction	claim
23	169	Hybrid Mathematical Symbol Recognition Using Support Vector Machines	claim
24	168	Context-Sensitive Error Correction: Using Topic Models to Improve OCR	claim
25	166	Online Handwritten Japanese Character String Recognition Incorporating Geometric Context	claim
26	164	Simultaneous Layout Style and Logical Entity Recognition in a Heterogeneous Collection of Documents	claim
27	164	A Weighted Finite-State Framework for Correcting Errors in Natural Scene OCR	claim
28	164	Perceptive Vision for Headline Localisation in Bangla Handwritten Text Recognition	claim
29	164	Handwriting Segmentation Contest	claim
30	163	Segmentation Based Recovery of Arbitrarily Warped Document Images	claim
31	163	Content-level Annotation of Large Collection of Printed Document Images	claim
32	163	WEB Image Classification Based on the Fusion of Image and Text Classifiers	claim
33	160	Extraction of Vectorized Graphical Information from Scientific Chart Images	claim
34	159	LDA-Based Compound Distance for Handwritten Chinese Character Recognition	claim
35	159	An Efficient Word Segmentation Technique for Historical and Degraded Machine-Printed Documents	claim
36	158	Curvelets Based Queries for CBIR Application in Handwriting Collections	claim
37	157	Robust Circle Detection	claim
38	156	Language Models for Handwritten Short Message Services	claim
39	155	A Novel Binarization System for Degraded Document Images	claim
40	154	Automatic Detection of Document Script and Orientation	claim
41	154	On the Applicability of Off-Line Signatures to the Fuzzy Vault Construction	claim
42	152	Minimum Error Discriminative Training for Radical-Based Online Chinese Handwriting Recognition	claim
43	151	On-Line Handwritten Text Line Detection Using Dynamic Programming	claim
44	151	Automatic Extraction of Data from 2-D Plots in Documents	claim
45	150	iGesture: A General Gesture Recognition Framework	claim
46	149	Knowledge-Based Recognition of Utility Map Sub-Diagrams	claim
47	149	Advances in Writer Identification and Verification	claim
48	147	Generating Copybooks from Consistent Handwriting Styles	claim
49	146	Elastic Matching of Online Handwritten Tamil and Telugu Scripts Using Local Features	claim
50	146	A Pen-Based Interface for Real-Time Document Edition	claim
51	146	Automatic Ground-truth Generation for Document Image Analysis and Understanding	claim
52	145	Handwritten Chinese Character Recognition Using Modified LDA and Kernel FDA	claim
53	144	Aspects of Mathematical Expression Analysis in Arabic Handwriting	claim
54	143	HMM-Based Online Handwriting Recognition System for Telugu Symbols	claim
55	143	Keyword Spotting and Retrieval of Document Images Captured by a Digital Camera	claim
56	142	Kernel Modified Quadratic Discriminant Function for Online Handwritten Chinese Characters Recognition	claim
57	142	Global Contour Lines Reconstruction in Topographic Maps	claim
58	142	A Method for Image Local-Difference Visualization	claim
59	141	A Fast Keyword-Spotting Technique	claim
60	141	Synthesis of Chinese Character Using Affine Transformation	claim
61	140	Iterated Document Content Classification	claim
62	139	Finger-Written Chinese Characters Recognition Using Hierarchical LDA	claim
63	139	Contribution of Multiresolution Description for Archive Document Structure Recognition	claim
64	138	A Bayesian Network Approach to Mode Detection for Interactive Maps	claim
65	138	Quantile Linear Algorithm for Robust Binarization of Digitalized Letters	claim
66	137	Hidden Markov Models for Online Handwritten Tamil Word Recognition	claim
67	137	Locating Charts from Scanned Document Pages	claim
68	136	On Computing Strength of Evidence for Writer Verification	claim
69	133	A Shared Parts Model for Document Image Recognition	claim
70	133	Text-Independent Writer Identification and Verification on Offline Arabic Handwriting	claim
71	132	Non-Uniform Slant Correction for Handwritten Text Line Recognition	claim
72	130	Towards Explainable Writer Verification and Identification Using Vantage Writers	claim
73	130	Computer Assisted Transcription of Handwritten Text Images	claim
74	128	Bibliographic Attributes Extraction with Layer-upon-Layer Tagging	claim
75	128	On the Use of Lexeme Features for Writer Verification	claim
76	126	New Aspects of InkML for Pen-Based Computing	claim
77	125	A Proposition of Retrieval Tools for Historical Document Images Libraries	claim
78	125	Identification of Latin-Based Languages through Character Stroke Categorization	claim
79	124	Representing and Characterizing Handwritten Mathematical Symbols through Succinct Functional Approximation	claim
80	123	XML Data Representation in Document Image Analysis	claim
81	123	Toponym Recognition in Scanned Color Topographic Maps	claim
82	119	A Parametric Spectral-Based Method for Verification of Text in Videos	claim
83	118	On Segmentation of Documents in Complex Scripts	claim
84	118	An Incremental On-line Parsing Algorithm for Recognizing Sketching Diagrams	claim
85	118	Extraction of Embedded Class Information from Universal Character Pattern	claim
86	117	Multi-Objective Optimization for SVM Model Selection	claim
87	116	A New Physically Motivated Warping Model for Form Drop-Out	claim
88	113	Vector Model Based Indexing and Retrieval of Handwritten Medical Forms	claim
89	113	Robust Document Warping with Interpolated Vector Fields	claim
90	112	K-Nearest Oracle for Dynamic Ensemble Selection	claim
91	112	Fusing Asynchronous Feature Streams for On-line Writer Identification	claim
92	111	Decompose Document Image Using Integer Linear Programming	claim
93	110	Mathematical Formulae Recognition Using 2D Grammars	claim
94	109	Streaming-Archival InkML Conversion	claim
95	105	On Using Classical Poetry Structure for Indian Language Post-Processing	claim

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