Preliminary Program
September 18, 2012
Opening Ceremony | ||
9.00-10.00 |
Introduction |
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Session 1 � Track I: Word Spotting I |
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10.00-10.20 |
Comparison of Bernoulli and Gaussian HMMs using a vertical repositioning technique for off-line handwriting recognition |
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10.20-10.40 |
Separability versus Prototypicality in Handwritten Word Retrieval |
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10.40-11.00 |
Script Independent Word Spotting in Offline Handwritten Documents Based on Hidden Markov Models |
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Session 1 � Track II: Digit Recognition |
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10.00-10.20 |
Annotating handwritten characters with minimal human involvement in a semi-supervised learning strategy |
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10.20-10.40 |
On the Possibility of Instance-Based Stroke Recovery |
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10.40-11.00 |
Benchmarking of Update Learning Strategies on Digit Classifier Systems |
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Session 2 � Track I: Word Spotting II |
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11.30-11.50 |
Arabic Handwritten Word Spotting Using Language Models |
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11.50-12.10 |
Semi-Supervised Learning for Cursive Handwriting Recognition using Keyword Spotting |
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12.10-12.30 |
The Role of the Users in Handwritten Word Spotting Applications: Query Fusion and Relevance Feedback |
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Session 2 � Track II: Codebook for Handwriting Recognition |
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11.30-11.50 |
Learning Text-Line Segmentation using Codebooks and Graph Partitioning |
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11.50-12.10 |
Off-line Features Integration for On-line Handwriting Graphemes modeling improvement |
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12.10-12.30 |
Model-based Tabular Structure Detection and Recognition in Noisy Handwritten Documents |
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Session 3 � Track I: Flowchart Recognition, Segmentation Techniques |
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12.30-12.50 |
On-line handwritten flowchart recognition, beautification, and editing system |
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12.50-13.10 |
A Touching Character Database from Chinese Handwriting for Assessing Segmentation Algorithms |
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13.10-13.30 |
A new Efficient Graphemes Segmentation Technique for Offline Arabic Handwriting |
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Session 3 � Track II: Word Segmentation |
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12.30-12.50 |
Handwritten and Machine Printed Text Separation in Document Images using the Bag of Visual Words Paradigm |
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12.50-13.10 |
A New Method for Text Verification based on Random Forests |
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13.10-13.30 |
Statistical Hypothesis Testing for Handwritten Word Segmentation Algorithms |
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Session 4 � Track I: Multilingual Recognition |
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15.00-15.20 |
A Comparative Study of Persian/Arabic Handwritten Character Recognition |
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15.20-15.40 |
A Hybrid Language Model for Handwritten Chinese Sentence Recognition |
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15.40-16.00 |
Online Arabic Handwritten Digits Recognition |
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Session 4 � Track II: Character Classification |
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15.00-15.20 |
k-NN Classification of Handwritten Characters via Accelerated GAT Correlation |
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15.20-15.40 |
Bag-of-Features Representations for Offline Handwriting Recognition Applied to Arabic Script |
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15.40-16.00 |
Building Compact On-line MRF Recognizer for Large Character Set Using Structured Dictionary Representation and Vector Quantization Technique |
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Session 5 � Track I: Bank Check Processing and Postal Automation |
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16.00-16.20 |
The new method of identification of handwriting using volumes of indentations |
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16.20-16.40 |
Multi-lingual City Name Recognition for Indian Postal Automation |
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16.40-17.00 |
Reduction of Bleed-through Effect in Images of Chinese Bank Items |
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Session 5 � Track II: Mathematical Expression |
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16.00-16.20 |
Unbiased Evaluation of Handwritten Mathematical Expression Recognition |
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16.20-16.40 |
Using Speech for Handwritten Mathematical Expression Recognition Disambiguation |
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16.40-17.00 |
A System for Recognition of On-Line Handwritten Mathematical Expressions |
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Teaser for Poster Session A | ||
Poster Session A | ||
1 |
Statistical Text Line Analysis in Handwritten Documents |
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2 |
Handwritten English Word Recognition based on Convolutional Neural Networks |
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3 |
Confused Distance Maximization for Large Category Dimensionality Reduction |
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4 |
Applying Discriminatively Optimized Feature Transform for HMM-based Off-line Handwriting Recognition |
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5 |
Signature based Document Retrieval using GHT of Background Information |
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6 |
Analysis of Stability in Static Signatures using Cosine Similarity |
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7 |
A Novel Technique for Handwritten Digit Classification using Genetic Clustering |
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8 |
Handwritten Digit Recognition Based On a DSmT-SVM Parallel Combination |
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9 |
An MLP for binarizing images of old manuscripts |
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10 |
A New Text Extraction Method Incorporating Local Information |
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11 |
Moment-based Image Normalization for Handwritten Text Recognition |
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12 |
Page segmentation based on Steerable Pyramid features |
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13 |
Structural Features Extraction for Handwritten Arabic Personal Names Recognition |
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14 |
Segmentation and Word Spotting Methods for Printed and Handwritten Arabic Texts: A Comparative Study |
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15 |
Analysis of Preprocessing Techniques for Latin Handwriting Recognition |
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16 |
A Study of handwritten characters by shape descriptors: doping using the Freeman code |
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17 |
Statistical Machine Translation as a Language Model for Handwriting Recognition |
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18 |
Segmentation and recognition strategy of handwritten connected digits based on the oriented sliding window |
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19 |
Mode Detection in Online Handwritten Documents Using BLSTM Neural Networks |
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20 |
MAYASTROUN- A Multilanguage Handwriting Database |
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21 |
Persian Signature Verification Based on Fractal Dimension Using Testing Hypothesis |
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22 |
Recognition of Relatively Small Handwritten Characters, or Size Matters |
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23 |
Grouping of Handwritten Bangla Basic Characters, Numerals and Vowel Modifiers for Multilayer Classification |
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24 |
Word Spotting based Retrieval of Urdu Handwritten Documents |
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25 |
Automatic abbreviation detection in medieval medical documents |
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26 |
Off-line Handwritten Signature Verification Using Contourlet Transform and Co-occurrence Matrix |
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27 |
Dynamic Programming Matching with Global Features for Online Character Recognition |
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28 |
Retrieval of Rashi Semi-Cursive Handwriting via Fuzzy Logic |
September 19, 2012
September 20, 2012