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Document Analysis and Recognition

4th Workshop, DAR 2018, Held in Conjunction with ICVGIP 2018, Hyderabad, India, December 18, 2018, Revised Selected Papers

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Suresh Sundaram

    1. Electronics and Electrical Engineering, Indian Institute of Technology Guwahati, Guwahati, India

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    You can also search for this editor in PubMed   Google Scholar

  2. Gaurav Harit

    1. Computer Science and Engineering, Indian Institute of Technology Jodhpur, Karwar, India

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Communications in Computer and Information Science (CCIS, volume 1020)

Included in the following conference series:

Conference proceedings info: DAR 2018.

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Table of contents (14 papers)

  1. Front Matter

    Pages i-viii
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  2. Document Layout Analysis and Understanding

    1. Front Matter

      Pages 1-1
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    2. MultiDIAS: A Hierarchical Multi-layered Document Image Annotation System

      • Arnab Poddar, Rohan Mukherjee, Jayanta Mukhopadhyay, Prabir Kumar Biswas
      Pages 3-14

    3. Attributed Paths for Layout-Based Document Retrieval

      • Divya Sharma, Gaurav Harit, Chiranjoy Chattopadhyay
      Pages 15-26

    4. Textual Content Retrieval from Filled-in Form Images

      • Soulib Ghosh, Rajdeep Bhattacharya, Sandipan Majhi, Showmik Bhowmik, Samir Malakar, Ram Sarkar
      Pages 27-37

  3. Handwriting Recognition and Symbol Spotting

    1. Front Matter

      Pages 39-39
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    2. A Study on the Effect of CNN-Based Transfer Learning on Handwritten Indic and Mixed Numeral Recognition

      • Rahul Pramanik, Prabhat Dansena, Soumen Bag
      Pages 41-51

    3. Symbol Spotting in Offline Handwritten Mathematical Expressions

      • Ridhi Aggarwal, Gaurav Harit, Anil Kumar Tiwari
      Pages 52-64

    4. Online Handwritten Bangla Character Recognition Using Frechet Distance and Distance Based Features

      • Shibaprasad Sen, Jewel Chakraborty, Snehanjan Chatterjee, Rohit Mitra, Ram Sarkar, Kaushik Roy
      Pages 65-73

    5. An Efficient Multi Lingual Optical Character Recognition System for Indian Languages Through Use of Bharati Script

      • Chandra Sekhar Vorugunti, Srinivasa Chakravarthy, Viswanath Pulabaigari
      Pages 74-83

  4. Character and Word Segmentation

    1. Front Matter

      Pages 85-85
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    2. Telugu Word Segmentation Using Fringe Maps

      • Koteswara Rao Devarapalli, Atul Negi
      Pages 87-96

    3. An Efficient Character Segmentation Algorithm for Connected Handwritten Documents

      • Vishal Rajput, N. Jayanthi, S. Indu
      Pages 97-105

  5. Handwriting Analysis

    1. Front Matter

      Pages 107-107
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    2. A Deep Learning Architecture Based Dimensionality Reduction and Online Signature Verification

      • Chandra Sekhar Vorugunti, Viswanath Pulabaigari
      Pages 109-118

    3. Word-Wise Handwriting Based Gender Identification Using Multi-Gabor Response Fusion

      • Maryam Asadzadeh Kaljahi, P. V. Vidya Varshini, Palaiahnakote Shivakumara, Umapada Pal, Tong Lu, D. S. Guru
      Pages 119-132

    4. A Secure and Light Weight User Authentication System Based on Online Signature Verification for Resource Constrained Mobile Networks

      • Chandra Sekhar Vorugunti, D. S. Guru, Viswanath Pulabaigari
      Pages 133-140

  6. Datasets and Performance Evaluation

    1. Front Matter

      Pages 141-141
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    2. Benchmark Datasets for Offline Handwritten Gurmukhi Script Recognition

      • Munish Kumar, R. K. Sharma, M. K. Jindal, Simpel Rani Jindal, Harjeet Singh
      Pages 143-151

    3. Benchmark Dataset: Offline Handwritten Gurmukhi City Names for Postal Automation

      • Harmandeep Kaur, Munish Kumar
      Pages 152-159
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  1. Document Analysis and Recognition

Keywords

About this book

1.    This book constitutes the refereed proceedings of the 4th Workshop on Document Analysis and Recognition, DAR 2018, held in Conjunction with ICVGIP 2018, in Hyderabad, India, in December 2018. The 12 revised full papers and 2 short papers presented were carefully reviewed and selected from 22 submissions. The papers are organized in topical sections: document layout analysis and understanding; handwriting recognition and symbol spotting; character and word segmentation; handwriting analysis; datasets and performance evaluation.

Editors and Affiliations

  • Electronics and Electrical Engineering, Indian Institute of Technology Guwahati, Guwahati, India

    Suresh Sundaram

  • Computer Science and Engineering, Indian Institute of Technology Jodhpur, Karwar, India

    Gaurav Harit

Bibliographic Information

  • Book Title: Document Analysis and Recognition

  • Book Subtitle: 4th Workshop, DAR 2018, Held in Conjunction with ICVGIP 2018, Hyderabad, India, December 18, 2018, Revised Selected Papers

  • Editors: Suresh Sundaram, Gaurav Harit

  • Series Title: Communications in Computer and Information Science

  • DOI: https://doi.org/10.1007/978-981-13-9361-7

  • Publisher: Springer Singapore

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Singapore Pte Ltd. 2019

  • Softcover ISBN: 978-981-13-9360-0Published: 05 July 2019

  • eBook ISBN: 978-981-13-9361-7Published: 04 July 2019

  • Series ISSN: 1865-0929

  • Series E-ISSN: 1865-0937

  • Edition Number: 1

  • Number of Pages: VIII, 161

  • Number of Illustrations: 18 b/w illustrations, 59 illustrations in colour

  • Topics: Image Processing and Computer Vision, Pattern Recognition, Artificial Intelligence

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