Advances in Intelligent Systems and Computing
Volume 766
Series Editor
Janusz Kacprzyk, Systems Research Institute, Polish Academy of Sciences,
Warsaw, Poland
Advisory Editors
Nikhil R. Pal, Indian Statistical Institute, Kolkata, India
Rafael Bello Perez, Faculty of Mathematics, Physics and Computing,
Universidad Central de Las Villas, Santa Clara, Cuba
Emilio S. Corchado, University of Salamanca, Salamanca, Spain
Hani Hagras, School of Computer Science and Electronic Engineering,
University of Essex, Colchester, UK
László T. Kóczy, Department of Automation, Széchenyi István University,
Gyor, Hungary
Vladik Kreinovich, Department of Computer Science, University of Texas
at El Paso, El Paso, TX, USA
Chin-Teng Lin, Department of Electrical Engineering, National Chiao
Tung University, Hsinchu, Taiwan
Jie Lu, Faculty of Engineering and Information Technology,
University of Technology Sydney, Sydney, NSW, Australia
Patricia Melin, Graduate Program of Computer Science, Tijuana Institute
of Technology, Tijuana, Mexico
Nadia Nedjah, Department of Electronics Engineering, University of Rio de Janeiro,
Rio de Janeiro, Brazil
Ngoc Thanh Nguyen , Faculty of Computer Science and Management,
Wrocław University of Technology, Wrocław, Poland
Jun Wang, Department of Mechanical and Automation Engineering,
The Chinese University of Hong Kong, Shatin, Hong Kong
The series “Advances in Intelligent Systems and Computing” contains publications
on theory, applications, and design methods of Intelligent Systems and Intelligent
Computing. Virtually all disciplines such as engineering, natural sciences, computer
and information science, ICT, economics, business, e-commerce, environment,
healthcare, life science are covered. The list of topics spans all the areas of modern
intelligent systems and computing such as: computational intelligence, soft computing including neural networks, fuzzy systems, evolutionary computing and the fusion
of these paradigms, social intelligence, ambient intelligence, computational neuroscience, artificial life, virtual worlds and society, cognitive science and systems,
Perception and Vision, DNA and immune based systems, self-organizing and
adaptive systems, e-Learning and teaching, human-centered and human-centric
computing, recommender systems, intelligent control, robotics and mechatronics
including human-machine teaming, knowledge-based paradigms, learning paradigms, machine ethics, intelligent data analysis, knowledge management, intelligent
agents, intelligent decision making and support, intelligent network security, trust
management, interactive entertainment, Web intelligence and multimedia.
The publications within “Advances in Intelligent Systems and Computing” are
primarily proceedings of important conferences, symposia and congresses. They
cover significant recent developments in the field, both of a foundational and
applicable character. An important characteristic feature of the series is the short
publication time and world-wide distribution. This permits a rapid and broad
dissemination of research results.
** Indexing: The books of this series are submitted to ISI Proceedings,
EI-Compendex, DBLP, SCOPUS, Google Scholar and Springerlink **
More information about this series at http://www.springer.com/series/11156
Atilla Elçi Pankaj Kumar Sa
Chirag N. Modi Gustavo Olague
Manmath N. Sahoo Sambit Bakshi
•
•
•
•
•
Editors
Smart Computing Paradigms:
New Progresses
and Challenges
Proceedings of ICACNI 2018, Volume 1
123
Editors
Atilla Elçi
Engineering Faculty
Aksaray University
Sağlık, Aksaray, Turkey
Chirag N. Modi
National Institute of Technology
Goa, India
Manmath N. Sahoo
Department of Computer Science
and Engineering
National Institute of Technology Rourkela
Rourkela, Odisha, India
Pankaj Kumar Sa
Department of Computer Science
and Engineering
National Institute of Technology Rourkela
Rourkela, Odisha, India
Gustavo Olague
CICESE
Ensenada, Baja California, Mexico
Sambit Bakshi
Department of Computer Science
and Engineering
National Institute of Technology Rourkela
Rourkela, Odisha, India
ISSN 2194-5357
ISSN 2194-5365 (electronic)
Advances in Intelligent Systems and Computing
ISBN 978-981-13-9682-3
ISBN 978-981-13-9683-0 (eBook)
https://doi.org/10.1007/978-981-13-9683-0
© Springer Nature Singapore Pte Ltd. 2020
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Preface
It is a sheer pleasure announcing receipt of an overwhelming response from academicians and researchers of reputed institutes and organizations of the country and
abroad for joining us in the 6th International Conference on Advanced Computing,
Networking, and Informatics (ICACNI 2018), which makes us feel that our
endeavor is successful. The conference organized jointly by the Department of
Computer Science and Engineering, National Institute of Technology Silchar, and
Centre for Computer Vision and Pattern Recognition, National Institute of
Technology Rourkela, during June 04–06, 2018, certainly achieves a landmark
toward bringing researchers, academicians, and practitioners in the same platform.
We have received more than 400 research articles and very stringently have selected
through peer review the best articles for presentation and publication. We, unfortunately, could not accommodate many promising works as we strove to ensure the
highest quality and adhere to the recommendations of the expert reviewers. We are
thankful to have the advice of dedicated academicians and experts from industry
and the eminent academicians involved in providing technical comments and
quality evaluation for organizing the conference with a planned schedule. We thank
all people participating and submitting their works and having continued interest in
our conference for the sixth year. The articles presented in the two volumes of the
proceedings discuss the cutting-edge technologies and recent advances in the
domain of the conference. We conclude with our heartiest thanks to everyone
associated with the conference and seeking their support to organize the 7th
ICACNI 2019 at the Indian Institute of Information Technology Kalyani, India,
during December 20–21, 2019.
Silchar, India
November 2019
Atilla Elçi
Pankaj Kumar Sa
Chirag N. Modi
Gustavo Olague
Manmath N. Sahoo
Sambit Bakshi
v
Contents
Advanced Image Processing Methodologies–I
Estimation of Tyre Pressure from the Characteristics of the Wheel:
An Image Processing Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
V. B. Vineeth Reddy, H. Ananda Rao, A. Yeshwanth,
Pravin Bhaskar Ramteke and Shashidhar G. Koolagudi
3
A Robust and Blind Watermarking for Color Videos
Using Redundant Wavelet Domain and SVD . . . . . . . . . . . . . . . . . . . . .
S. Prasanth Vaidya and P. V. S. S. R. Chandra Mouli
11
Optimized Object Detection Technique in Video Surveillance System
Using Depth Images . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Md. Shahzad Alam, T. S. Ashwin and G. Ram Mohana Reddy
19
Evidence-Based Image Registration and Its Effect
on Image Fusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Ujwala Patil, Ramesh Ashok Tabib, Rohan Raju Dhanakshirur
and Uma Mudenagudi
29
Two Stream Convolutional Neural Networks for Anomaly Detection
in Surveillance Videos . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Adarsh Jamadandi, Sunidhi Kotturshettar and Uma Mudenagudi
41
Detection and Classification of Road Signs Using
HOG-SVM Method . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Anant Ram Dubey, Nidhi Shukla and Divya Kumar
49
Segmentation of Calcified Plaques in Intravascular
Ultrasound Images . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Tara Chand Ulli and Deep Gupta
57
vii
viii
Contents
Copy–Move Attack Detection from Digital Images:
An Image Forensic Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Badal Soni, Pradip K. Das, Dalton Meitei Thounaojam
and Debalina Biswas
A Comparative Study of Reversible Video Watermarking
Using Automatic Threshold Adjuster and Non-feedback-Based
DE Method . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Subhajit Das and Arun Kumar Sunaniya
Detection of White Ear-Head of Rice Crop Using Image Processing
and Machine Learning Techniques . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Prabira Kumar Sethy, Smitanjali Gouda, Nalinikanta Barpanda
and Amiya Kumar Rath
Hash Code Based Image Authentication Using Rotation Invariant
Local Phase Quantization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Umamaheswar Reddy, Utkarsh Arya, Ram Kumar Karsh
and Rabul Hussian Laskar
69
77
87
97
Novel Competitive Swarm Optimizer for Sampling-Based Image
Matting Problem . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109
Prabhujit Mohapatra, Kedar Nath Das and Santanu Roy
Sound, Voice, Speech, and Language Processing
Note Transcription from Carnatic Music . . . . . . . . . . . . . . . . . . . . . . . . 123
S. M. Suma, Shashidhar G. Koolagudi, Pravin B. Ramteke and K. S. Rao
Sentence-Based Dialect Identification System Using Extreme Gradient
Boosting Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131
Nagaratna B. Chittaragi and Shashidhar G. Koolagudi
Characterization of Consonant Sounds Using Features Related
to Place of Articulation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 139
Pravin Bhaskar Ramteke, Srishti Hegde and Shashidhar G. Koolagudi
Named Entity Recognition Using Part-of-Speech Rules for Telugu . . . . 147
SaiKiranmai Gorla, Sriharshitha Velivelli, Dipak Kumar Satpathi,
N L Bhanu Murthy and Aruna Malapati
Computational Intelligence: Algorithms, Applications and Future
Directions
Objective Assessment of Pitch Accuracy in Equal-Tempered Vocal
Music Using Signal Processing Approaches . . . . . . . . . . . . . . . . . . . . . . 161
Roshni Biswas, Y. V. Srinivasa Murthy, Shashidhar G. Koolagudi
and Swaroop G. Vishnu
Contents
ix
Gibbs Sampled Hierarchical Dirichlet Mixture Model Based
Approach for Clustering Scientific Articles . . . . . . . . . . . . . . . . . . . . . . 169
G. S. Mahalakshmi, G. MuthuSelvi and S. Sendhilkumar
Experimental Evaluation of Dynamic Typing Mechanism:
A Case Study . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 179
K. Indra Gandhi and K. Induja
Integrating Digital Forensics and Digital Discovery to Improve E-mail
Communication Analysis in Organisations . . . . . . . . . . . . . . . . . . . . . . . 187
Mithileysh Sathiyanarayanan and Odunayo Fadahunsi
Speaker Verification Systems: A Comprehensive Review . . . . . . . . . . . . 195
Ujwala Baruah, Rabul Hussain Laskar and Biswajit Purkayashtha
A Fast Method for Segmenting ECG Waveforms . . . . . . . . . . . . . . . . . 209
Dipjyoti Bisharad, Debakshi Dey and Brinda Bhowmick
Removal of Eye-Blink Artifact from EEG Using LDA and Pre-trained
RBF Neural Network . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 217
Rajdeep Ghosh, Nidul Sinha and Saroj Kumar Biswas
Innovative Soft Computing Approaches for Pattern Recognition
Applications
Skin Cancer Detection Using Advanced Imaging Techniques . . . . . . . . . 229
Shivani Pal and M. Monica Subashini
Auto-associative Neural Network Based Concrete Crack Detection . . . . 239
A. Diana Andrushia and N. Anand
Image Filter Selection, Denoising and Enhancement Based
on Statistical Attributes of Pixel Array . . . . . . . . . . . . . . . . . . . . . . . . . 245
Vihar Kurama and T. Sridevi
Enhanced Security Credentials for Image Steganography
Using QR Code . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 259
Prajith Kesava Prasad, R. Kalpana Sonika, R. Jenice Aroma
and A. Balamurugan
Clustering-Based Melanoma Detection in Dermoscopy Images
Using ABCD Parameters . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 267
J. Jacinth Poornima, J. Anitha and H. Asha Gnana Priya
Automated Histogram-Based Seed Selection for the Segmentation
of Natural Scene . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 275
R. Aarthi and S. Shanmuga Priya
x
Contents
Application of Image Fusion Approaches for Image Differencing
in Satellite Images . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 283
R. Jenice Aroma and Kumudha Raimond
A Novel Method for Detecting Bone Contours in Hand
Radiographic Images . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 293
D. Diana, J. Revathi, K. Uma, A. Ramya and J. Anitha
Author Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 301
About the Editors
Atilla Elçi is an Emeritus Full Professor and Chairman of the Department of
Electrical and Electronics Engineering at Aksaray University, Turkey (August
2012–September 2017). He previously served as a Full Professor and Chairman of
Computer and Educational Technology at Süleyman Demirel University, Isparta,
Turkey (May 2011–June 2012). Dr. Elçi graduated with a degree in Electrical
Engineering from METU, Turkey and completed his M.Sc. and Ph.D. in Computer
Science at Purdue University, USA. He has 71 papers, 11 books, 10 conference
publications and 4 talks to his credit. His research areas include semantic web
technology; information security/assurance; semantic robotics; programming systems and languages; and semantics in education.
Pankaj Kumar Sa received his Ph.D. degree in Computer Science in 2010. He is
currently serving as an Associate Professor in the Department of Computer Science
and Engineering, National Institute of Technology Rourkela, India. His research
interests include computer vision, biometrics, visual surveillance, and robotic
perception. He has co-authored a number of research articles in various journals,
conferences, and book chapters and has co-investigated research and development
projects funded by SERB, DRDOPXE, DeitY, and ISRO. He has received several
prestigious awards and honors for his contributions in academics and research.
Chirag N. Modi is an Assistant Professor, Department of Computer Science and
Engineering, NIT Goa, Farmagudi. He received his B.E. (Computer Engineering)
from BVM Engineering College, Gujarat, India and completed his M.Tech. and
Ph.D. in Computer Engineering at SVNIT Surat, Gujarat. His research areas include
cloud computing security; network security, cryptography and information security;
and secured IoTs, data mining, and privacy preserving data mining. He has published several journal papers and book chapters.
Gustavo Olague received his Ph.D. in Computer Vision, Graphics and Robotics
from the INPG (Institut Polytechnique de Grenoble) and INRIA (Institut National
de Recherche en Informatique et Automatique) in France. He is currently a
xi
xii
About the Editors
Professor at the Department of Computer Science at CICESE (Centro de
Investigación Científica y de Educación Superior de Ensenada) in Mexico, and the
Director of its EvoVisión Research Team. He is also an Adjoint Professor of
Engineering at UACH (Universidad Autonóma de Chihuahua). He has authored
over 100 conference proceedings papers and journal articles, coedited two special
issues in Pattern Recognition Letters and Evolutionary Computation, and served as
co-chair of the Real-World Applications track at the main international evolutionary
computing conference, GECCO (ACM SIGEVO Genetic and Evolutionary
Computation Conference). Prof. Olague has received numerous distinctions, among
them the Talbert Abrams Award presented by the American Society for
Photogrammetry and Remote Sensing (ASPRS); Best Paper awards at major conferences such as GECCO, EvoIASP (European Workshop on Evolutionary
Computation in Image Analysis, Signal Processing and Pattern Recognition) and
EvoHOT (European Workshop on Evolutionary Hardware Optimization); and
twice the Bronze Medal at the Humies (GECCO award for Human-Competitive
results produced by genetic and evolutionary computation). His main research
interests are in evolutionary computing and computer vision.
Manmath N. Sahoo is an Assistant Professor at the Department of Computer
Science and Engineering, National Institute of Technology Rourkela, India. His
research interest areas are in fault tolerant systems, operating systems, distributed
computing, and networking. He is a member of the IEEE, Computer Society of
India and the Institutions of Engineers, India. He has published several papers in
national and international journals.
Sambit Bakshi is currently with Centre for Computer Vision and Pattern
Recognition of National Institute of Technology Rourkela, India. He also serves as
an Assistant Professor in the Department of Computer Science & Engineering
of the institute. He earned his Ph.D. degree in Computer Science & Engineering in
2015. His areas of interest include surveillance and biometric authentication. He
currently serves as associate editor of International Journal of Biometrics (2013 –),
IEEE Access (2016 –), Innovations in Systems and Software Engineering: A NASA
Journal (2016 –), Expert Systems (2017 –), and PLOS One (2017 –). He has
served/is serving as guest editor for reputed journals like Multimedia Tools and
Applications, IEEE Access, Innovations in Systems and Software Engineering:
A NASA Journal, Computers and Electrical Engineering, IET Biometrics, and
ACM/Springer MONET. He is serving as the vice-chair for IEEE Computational
Intelligence Society Technical Committee for Intelligent Systems Applications for
the year 2019. He received the prestigious Innovative Student Projects Award 2011
from Indian National Academy of Engineering (INAE) for his master’s thesis. He
has more than 50 publications in reputed journals, reports, and conferences.