2018年ISSIP信号与图像处理趋势会议纪要

图像处理

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Contents

Face Detection and Expression Recognition Using Haar Cascade

Classiﬁer and Fisherface Algorithm

............................ 1

Indrasom Gangopadhyay, Anulekha Chatterjee and Indrajit Das

Pyramid-Based Multi-scale Enhancement Method for Iris Images

..... 13

J. Jenkin Winston and D. Jude Hemanth

Character Recognition from Handwritten Image Using

Convolutional Neural Networks

............................... 23

Ranjan Jana and Siddhartha Bhattacharyya

Malignant Melanoma Classiﬁcation Using Cross-Platform

Dataset with Deep Learning CNN Architecture

................... 31

Soumen Mukherjee, Arunabha Adhikari and Madhusudan Roy

Automatic Gender Identiﬁcation from Children Facial Images

Using Texture Descriptors

................................... 43

Ayesha Iftikhar, Rehan Ashraf, Asim Saeed, Srinivas Alva

and Rajmohan Pardeshi

Assessment of UWAC System Performance Using FBMC

Technique

................................................ 53

B. Pranitha and L. Anjaneyulu

Simple Exponential Smoothi ng and Its Control Parameter:

A Reassessment

........................................... 63

Dipta Chaudhuri, Moloy Mukherjee, Mofazzal H. Khondekar

and Koushik Ghosh

A Novel Cross-Dimensional Image Processing Technique:

Toward a 3D View of a 2D Image

............................. 79

Dipnarayan Das and Sumit Gupta

xvii

About the Editors

Siddhartha Bhattacharyya did his Bachelors in Physics, Bachelors in Optics and

Optoelectronics and Masters in Optics and Optoelectronics from University of

Calcutta, India in 1995, 1998 and 2000 respectively. He completed Ph.D. in

Computer Science and Engineer ing from Jadavpur University, India in 2008.

He is currently a Senior Research Scientist in VSB Technical University of

Ostrava, Czech Republic. He is also the Principal of RCC Institute of Information

Technology, Kolkata, India. He is a co-author of four books and the co-editor of 20

books and has more than 200 research publications in international journals and

conference proceedings to his credit. He has also published two PCTs. He is the

founding Editor-in-Chief of International Journal of Hybrid Intelligence,

Inderscience. He is also on the editorial board of reputed inte rnational journals.

His research interests include soft computing, pattern recognition, multimedia data

processing, hybrid intelligence and quantum computing. Dr. Bhattacharyya is a life

fellow of OSI. He is a fellow of IETE and IEI. He is also a senior member of IEEE,

IETI and ACM. He is a life member of CRSI, CSI, ISTE, IUPRAI and CEGR. He is a

member of IET (UK), IRSS, IAENG, CSTA, IAASSE, IDES, ISSIP and SDIWC.

Sankar K. Pal a Distinguished Scientist and former Director of Indian Statistical

Institute, is currently an INSA Distinguished Professor Chair. He is an alumnus of

Calcutta University; Indian Statistical Institute; and Imperial College, London.

He worked at NASA-Johnson Space Center, Houston; University of California,

Berkeley; University of Maryland, College Park; and US-Naval Research Lab,

Washington DC. He is an IEEE-CS Distinguished Visitor for Asia-paciﬁc region,

and visited forty ﬁve countries as a Keynote/Invited speaker or an academic visitor.

Prof. Pal is a Fellow of TW AS (The World Academy of Sciences), IEEE, IAPR,

IFSA, IRSS, and all the four Indian academies in scien ce/engineering; decorated

with most coveted S.S. Bhatnagar Prize (Science award) and Padma Shri (Civilian

award) in India, and Khwarizmi International Award in Iran, among others; and

co-author of 20 books, and 400+ publications in pattern recognition, machine

intelligence, soft computing , granular mining and Big data. He serves(d) in editorial

boards of 20+ international journals, including IEEE Transactions.

xix

Indrajit Pan has done his Bachelor of Engineering (B.E.) in Computer Science

and Engineering with Honors from The University of Burdwan in 2005 and

completed Master of Technology (M.Tech.) in Information Technology from

Bengal Engineer ing and Science University, Shibpur in 2009. He was the recipient

of University Medal for his academic performance during Masters. He obtained

Ph.D. in Engineering from Department of Information Technology, Indian Institute

of Engineering Science and Technology, Shibpur in 2015. His present research

interest includes social network analysis and cloud computing. Indrajit is now

Associate Professor of Information Technology Department at RCC Institute of

Information Technology, Kolkata. He has around thirty research publications in

different International journals, Edited books and conference proceedings. He also

co-authored couple of edited research volumes with prestigious publishers like

Wiley, Taylor and Francis, Springer Nature. Indrajit is the Senior member of IEEE,

USA and Member of ACM, USA and CSI.

Abhijit Das received his B.Tech. in IT from University of Kalyani in the year

2003, M.Tech. in IT from University of Calcutta in the year 2005 and Ph.D.

(Engineering) from Department of CSE Jadavpur University in the year 2016. He

has over 15 years of Teaching and Research experience and more than 30 publi-

cations of internati onal repute. Presently he is serving as an Associate Professor in

the department of IT, RCC Inst itute of Information Technology, Kolkata, India . He

has organised and chaired various international conferences and seminars. Four

research scholars are currently working with him in different topics like IoT,

Precision Agriculture, e-Waste Management, Object Oriented Categorization etc.

Prof. Das has acted as reviewer for many reputed journals and is professional

member of IEEE and ACM.

Abhijit is also a professional singer and is a regular artist of All India Radio

Kolkata and various Television channels and has more than 10 music albums on his

credit.

xx About the Editors

Face Detection and Expression

Recognition Using Haar Cascade

Classiﬁer and Fisherface Algorithm

Indrasom Gangopadhyay, Anulekha Chatterjee and Indrajit Das

Abstract Facial expression recognition is the process of identifying the expression

that is displayed by a person, and it has several applications in the ﬁelds of medicine,

human–computer interaction others; where recognition of expressions displayed on a

face is of vital. The process mainly comprises face detection and expression recogni-

tion using Haar classiﬁer and using Fisherface based on Fisher’s linear discriminant

analysis (FLDA) for dimensionality reduction, respectively. The dataset from which

the faces were presented to the classiﬁers yielded a precision of 96.3% with a recog-

nition speed of 8.2 s. An improvement in recognition accuracy of 3.4% i s observed by

this algorithm from other algorithms, viz. eigenfaces, LBPH recognizer, and artiﬁcial

neural network; although with a drawback of incorrect recognition in cases of uneven

illumination or low-light conditions. This result may be considered as efﬁcient both

with respect to accuracy and speed of recognition of the facial expressions.

Keywords Haar cascade classiﬁer

· Fisherface · Cohn-Kanade database · Facial

expression recognition

· Face detection

1 Introduction

Facial expression analysis is a difﬁcult challenge which has become an interesting

topic for the research. The expression on one’s face provides an insight about their

mood or feelings and can play a vital role in social communication. Facial expres-

sions are also useful in forensic, biometric, and neuroscience studies [1]. It also has

applications in image comprehension, psychological evaluation, animation of face,

I. Gangopadhyay (

) · A. Chatterjee · I. Das

Meghnad Saha Institute of Technology, Kolkata, India

e-mail: indrasomgangopadhyay@yahoo.com

A. Chatterjee

e-mail: anulekha1312@gmail.com

I. Das

e-mail: indrajitdas1979@hotmail.com

S. Bhattacharyya et al. (eds.), Recent Trends in Signal and Image Processing,

Advances in Intelligent Systems and Computing 922,

https://doi.org/10.1007/978-981-13-6783-0_1

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2018年ISSIP信号与图像处理趋势会议纪要

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