Cursive Script Text Recognition in Natural Scene Images: Arabic Text Complexities (Paperback, 2020)

· 제목 : Cursive Script Text Recognition in Natural Scene Images: Arabic Text Complexities (Paperback, 2020) 
· 분류 : 외국도서 > 컴퓨터 > 시스템 관리 > 저장/검색
· ISBN : 9789811512995
· 쪽수 : 111쪽
· 출판일 : 2021-02-07

Section#1 Introduction and Challenges

Chapter# 1          Foundations of Cursive Scene Text

1.1            Introduction

1.2            What is Cursive script

1.3            Role of Context in Cursive script

1.5        Applications

1.6            Contribution

 

Chapter# 2          Text in Wild and its Challenges

                                2.1         In-built Complexities Relevant to Cursive Scene Text

                             2.2       Scene Text Localization issues

               2.3        Cursive Scene Text Recognition Limitations

Chapter#3           Arabic Scene Text Acquisition and Statistics

3.1         Importance of Dataset Analysis

3.2         Dataset Collection

3.2.1      Multilingual Dataset Generation

3.2.2      English-Arabic Scene text 42k Dataset

3.5         Pre-processing of Acquired Samples

3.6         Generation and Verification of Ground Truth

 Methods and Algorithms

             Chapter#4          Traditional Approaches

4.1.         Methods Designed for Feature Analysis

4.2         Research Methodologies Designed for Cursive Scene Text

                                4.2.1      Importance of Implicit Segmentation

4.3      Role of Explicit Segmentation

                                4.1         Invariance Feature Extraction in Co-occurrence Extremal Regions

              4.2         Window based features

                                              4.4         Linear spatial pyramid

                                              4.4.1      Formulation and Preprocessing

 

Chapter 5#  Deep Learning

                                5.1         Hybrid Deep Learning Model         

              5.2         Deep Convolutional Neural Network

5.3  RNN

                5.3.1         Why LSTM networks suitable for Cursive Scene Text?

                                5.3.2      Importance of Connectionist Temporal Classification (CTC) in LSTM

5.4         Hierarchical Subsampling based Cursive scene Text Recognition

5.5         Transfer Learning

4.11         Summary

 

                Chapter 6#           Progress in Cursive Wild Text Recognition 

                                5.1          Overview of latest trends

                                5.2          Current Status

(Competition)

                Chapter# 7         Open Research issues and Future Direction

                                6.1          Research problems with perspective of state-of-the-art techniques

                                6.2          Future Directions