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A Survey on the Usage of Pattern Recognition and Image Analysis Methods for the Lifestyle Improvement on Low Vision and Visually Impaired People

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Abstract

According to World Health Organization in 2017 nearly 253 million people are visually impaired of whom 36 million are blind. Braille books involve the tactile format that helps the visually impaired people to gain knowledge but only a limited resource is available. Enormous papers and studies describe the method for obtaining machine readable document from textual image. In upcoming days character recognition might serve a key role to create a paperless environment that helps the visually impaired people to gain enormous amount of educational material. Handwritten script recognition is gaining vital importance in today’s electronically interconnected society. In the field of machine learning and pattern matching handwritten has gained lot of attention. This paper first summarizes the pros and cons of technologies developed for the visually impaired people in terms of education material obtained from text image and handwritten image. Along with that it presents a performance comparison of different methods. Finally, it describes the future research work in this domain.

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Authors and Affiliations

  1. Panimalar Engineering College, Chennai, India

    M. Anitha, V. D. Ambeth Kumar & S. Malathi

  2. St. Peter’s University, Chennai, India

    V. D. Ashok Kumar

  3. School of IT, Madurai Kamaraj University, Madurai, India

    M. Ramakrishnan

  4. Banaras Hindu University, Varanasi, India

    Abhishek Kumar

  5. School of IME, Sejong University, Sejong, Republic of Korea

    Rashid Ali

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  1. M. Anitha
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  2. V. D. Ambeth Kumar
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  3. S. Malathi
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  4. V. D. Ashok Kumar
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  5. M. Ramakrishnan
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  6. Abhishek Kumar
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Corresponding authors

Correspondence to M. Anitha, V. D. Ambeth Kumar, S. Malathi, V. D. Ashok Kumar, M. Ramakrishnan, Abhishek Kumar or Rashid Ali.

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The authors declare that they have no conflicts of interest. This article does not contain any studies involving human participants performed by any of the authors.

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M. Anitha received her B.E. (Computer Science and Engineering) from Panimalar Institute of Technology, Anna University, India and she is completed M.E. (CSE) in Anna University. She has published many papers in various national, international conferences and journals. Her area of interests are data structure, theory of computation, compiler design, and image processing.

V.D. Ambeth Kumar received his PhD (Computer Science And Engineering) from Sathyabama University, India in 2013 and pursued his M.E. (Computer Science And Engineering) degree from Annamalai University, Chidambaram and B.E. (Computer Science And Engineering) from Madurai Kamaraj University, Madurai, Tamil Nadu, India in the year 2006. He has a decade of experience in the field of Computer Science. At current he is working as a Professor at Panimalar Engineering College, Chennai, India. Besides having contributed in Technology initiatives, he has published books on Theory of Computation, Design and Analysis of Algorithms, Advanced Computer Architecture and Python Programming. He has published articles in 45 international journals and 6 national journals. He has presented papers in more than 55 international and national conferences. He is a recognized supervisor of Anna University, currently he is guiding research scholars for Ph.D. programme. He having 6 patents and 14 copyrights. His work being profiled broadly in image processing, pattern recognition, neural networks and networking. He is editor of several Books and proceedings of Springer & IOS. His research interest includes computational model, compiler design, data structure and microprocessors. He is a reviewer and editor of many reputed journals and life time member of ISTE, IAENG, and ACEEE.

S. Malathi obtained her Doctorate from Sathyabama University, Chennai in the field of Software Engineering. She has more than 22 years of teaching experience and currently working as Professor and Dean, Dept. of CSE, Panimalar Engineering College, Chennai. She has published several research papers in peer-reviewed international, national journals and presented papers in international, national conferences. She has recently received the award from CSI for “Best Paper Presenter in International Conferences.” She has guided number of projects and a few of them have received National Recognition. Her future interests lay in the field of software engineering, image processing, and networks.

V.D. Ashok Kumar received M.E. (Computer Science Engineering) from Annamalai University, having pursued his B.E. (Computer Science Engineering) in Madras University and he is pursing his Ph.D. (CSE) in St. Peter University. He has teaching experience in Department of Computer Science and Engineering for the past six years. He had published many papers in various national, international conferences and journals. His area of interests are data structure, theory of computation, compiler design, and image processing.

M. Ramakrishnan is working as a professor, Head and Chairperson of School of Information Technology in Madurai Kamaraj University. He obtained his PhD in Computer Science Engineering from Anna University. He has guided 22 PhD research scholars. He has served position as a syndicate member and Special Officer (Planning and development) in Madurai Kamaraj University. He has published more than 100 research papers. His area of interests are network security, parallel computing, image processing, web services, fuzzy logic and neural networks. He has 26 years of teaching experience. He is a member of ISTE and senior member of IACSIT. He is a reviewer of international journals such as scientific journal of computer science and international journal of computer science and emerging technology.

Abhishek Kumar is working as an Assistant Professor at Department of Computer Science, Institute of Science at Banaras Hindu University. Dr. Abhishek Kumar is Apple Certified Associate (USA), Adobe Certified Educator (USA), and Certified by Autodesk. Dr. Abhishek holding 6 patents in the field of VR and IoT and published more than 30 Research papers Scopus/WOS indexed. He is active member of ACM, Adobe and SAS. He authored two books in the area of Design and Game technology published with Apress, Springer. He has trained over 50 000 students worldwide from 154 countries, major students from India, Spain, Germany, and USA.

Rashid Ali (PhD, M’2020) received his B.S. degree in Information Technology from Gomal University, Pakistan, in 2007. He obtained his Master’s in Computer Science (Advanced Network Design) degree in 2010 and Master in Informatics in 2013 from the University West, Sweden. He received his PhD diploma in Information and Communication Engineering from the Department of Information and Communication Engineering, Yeungnam University, Korea, in February 2019. Between 2007 and 2009, he worked for Wateen Telecom Pvt. Ltd. Pakistan as WiMAX Engineer in Operations and Research Department. From July 2013 to June 2014, he worked for COMSATS University Islamabad (Vehari), Pakistan, as a Lecturer. He has also served as a postdoc research fellow at the Department of Information and Communications Engineering, Yeungnam University, Korea. Currently, he is working as an Assistant Professor at the School of Intelligent Mechatronics Engineering, Sejong University, Korea. His research interests include next-generation wireless local area networks (IEEE 802.11ax/ah), unlicensed wireless networks in 5G, internet of things, performance evaluation of wireless networks, named-data/information-centric networking, reinforcement learning techniques for wireless networks, and federated reinforcement learning for next-generation WLANs.

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Anitha, M., Kumar, V.D., Malathi, S. et al. A Survey on the Usage of Pattern Recognition and Image Analysis Methods for the Lifestyle Improvement on Low Vision and Visually Impaired People. Pattern Recognit. Image Anal. 31, 24–34 (2021). https://doi.org/10.1134/S105466182101003X

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