Prof. Debotosh Bhattacharjee is working as a full professor in the Department of Computer Science and Engineering, Jadavpur University with twenty-five years of experience.
His research interests pertain to the applications of machine learning techniques for Face Recognition, Gait Analysis, Hand Geometry Recognition, and Diagnostic Image Analysis. He has authored or coauthored more than 332 journals, conference publications, including several book chapters in the areas of Biometrics and Medical Image Processing. Six patents have been granted on his works.
Prof. Bhattacharjee has been granted sponsored projects by the Govt. of India funding agencies like the Department of Biotechnology(DBT), Department of Electronics and Information Technology (DeitY), and University Grants Commission(UGC) with a total amount of around INR 3 Crore.
For postdoctoral research, Dr. Bhattacharjee has visited different universities abroad like the University of Twente, The Netherlands; Instituto Superior Técnico, Lisbon, Portugal; University of Bologna, Italy; ITMO National Research University, St. Petersburg, Russia; University of Ljubljana, Slovenia; Northumbria University, Newcastle Upon Tyne, UK and Heidelberg University, Germany.
He is a life member of the Indian Society for Technical Education (ISTE, New Delhi), the Indian Unit for Pattern Recognition and Artificial Intelligence (IUPRAI), a senior member of IEEE (USA), and a fellow of West Bengal Academy of Science and Technology.
Website:
http://www.jaduniv.edu.in/profile.php?uid=672
RG or Scholar profile:
https://scholar.google.co.in/citations?user=hI7_HFMAAAAJ&hl=en https://www.researchgate.net/profile/Debotosh_Bhattacharjee
Expert In:
Artificial Intelligence
Machine Learning
Image Processing
Medical Image Processing
Face Recognition
Total Number of Publication: 290
No. of Journal Publication: 110
No. of Conference Publication: 140
No. of Book Chapter Publication: 40
Total Number of Patents: 4
Total Number of Ph. D. Thesis guidance: 17
Total Number of Projects Investigated: 12(Near about 64cr INR)
Involvement in Higher Education Policy Making (International)
Country visited
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Duration
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Organization/Place
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Role/Purpose
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---|---|---|---|
Germany
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23rd August 2009 to 29th August 2009
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University of Koblenz, Koblenz
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Summer School
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Italy
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11th May 2011 to 16th May 2011
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University of Genoa, Genoa
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Erasmus Mundus Mobility with Asia Meeting
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Nepal
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16th October 2011 to 20th October 2011
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Kathmandu University, Kathmandu
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Erasmus Mundus Mobility with Asia Meeting
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Netherland
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21st November 2011 to 11th May 2012
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University of Twente, Enschede, The Netherland
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Postdoc Research
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Switzerland
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22nd January 2012 to 28th January 2012
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Zinal, Switzerland
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Winter School
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Vienna
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9th April 2012 to 13th April 2012
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Redzur-2012, Vienna Institute of Technology, Vienna
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Paper Presentation
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Poland
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15th October 2012 to 20th October 2012
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University of Warsaw, Warsaw
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Erasmus Mundus Mobility with Asia Meeting
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USA
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2nd February 2013 to 10th February
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SPIE Conference, San Francisco, California
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Paper Presentation
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Germany
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11th June 2013 to 10th July 2013
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Heidelberg University, Heildelberg
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Visiting Researcher
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Spain
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23rd June 2013 to 28th June 2013
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Benicássim, Valencia
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Summer School
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France
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11th July 2013 to 13th July 2013
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Universite' Bordeaux 1, Bordeaux
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Meeting for policy on higher education
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Funded by: European Commission, Brussels
Role: Local Coordinator, Jadavpur University
Budget: 24,73,850 Euro
Status: Completed
Duration: 3 years
Period: 2009-2012
Funded by: European Commission, Brussels
Role:Local Coordinator, Jadavpur University
Budget: 19,99,325 Euro
Status: Completed
Duration: 3 years
Period: 2011-2014
Funded by: European Commission, Brussels
Role: Local Coordinator, Jadavpur University
Budget: 24,99,925 Euro
Status: Completed
Duration: 3 years
Period: 2013-2016
Funded by: UGC unassigned grant at JU
Role: Principal Investigator
Budget: 50,000 INR
Status: Completed
Duration: 2 years
Period:: 2007-2009
Funded by: UGC, Govt. of India
Role: Principal Investigator
Budget: 10,76,834 INR
Status: Completed
Duration: 3 years
Period: 2010-2013
Funded by: DIT, MCIT, Govt. of India
Role: Principal Investigator
Budget: 66,21,250 INR
Status: Completed
Duration: 3 years
Period: 2013-2016
Funded by: DBT, Govt. of India
Role: Principal Investigator
Budget: 13,55,000 INR
Status: Completed
Duration: 3 years
Period: 2014-2017
Funded by: DBT, MST, Govt. of India
Role: Principal Investigator
Budget: 23,40,645 INR
Status: Completed
Duration: 3 years
Period: 2014-2017
Funded by: UPE-II, Phase-I, Govt. of India
Role: Co- Principal Investigator
Budget: 13,63,200 INR
Status: Completed
Duration: 3 years
Period: 2012-2015
Funded by: PURSE-II, Govt. of India
Role: Co- Principal Investigator
Budget: 37,00,200 INR
Status: Completed
Duration:: 4 years
Period:: 2015-2019
Funded by: UPE-II, Phase-II, Govt. of India
Role: Co- Principal Investigator
Budget: 13,70,000 INR
Status: Completed
Duration: 4 years
Period: 2015-2019
Funded by: DRDO, Govt. of India
Role: Principal Investigator
Budget: 18,19,000 INR
Status: Ongoing
Duration: 3 years
Period: 2018-2021
Author: Asish Bera, Debotosh Bhattacharjee, Hubert PH Shum
Published In: Expert Systems with Applications
Publishing Year: 2021
Journal Impact Factor: 5.452
Abstract:
This paper presents a human verification scheme in two independent stages to overcome the vulnerabilities of attacks and to enhance security. At the first stage, a hand image-based CAPTCHA (HandCAPTCHA) is tested to avert automated bot-attacks on the subsequent biometric stage. In the next stage, finger biometric verification of a legitimate user is performed with presentation attack detection (PAD) using the real hand images of the person who has passed a random HandCAPTCHA challenge.
Author: Debotosh Bhattacharjee, Hiranmoy Roy
Published In: IEEE TPAMI
Publishing Year: 2019
Journal Impact Factor: 17.861
Abstract:
This paper presents a novel local image descriptor called Pattern of Local Gravitational Force (PLGF). It is inspired by Law of Universal Gravitation. PLGF is a hybrid descriptor, which is a combination of two feature components: one is the Pattern of Local Gravitational Force Magnitude (PLGFM), and another is Pattern of Local Gravitational Force Angle (PLGFA). PLGFM encodes the local gravitational force magnitude, and PLGFA encodes the local gravitational force angle that the center pixel exerts on all other pixels within a local neighborhood. We propose a novel noise resistance and the edge-preserving binary pattern called neighbors to center difference binary pattern (NCDBP) for gravitational force magnitude encoding.
Author: Sourav Pramanik, Debapriya Banik, Debotosh Bhattacharjee, Mita Nasipuri, Mrinal Kanti Bhowmik, Gautam Majumdar
Published In: IEEE Transactions on Medical Imaging
Publishing Year: 2018
Journal Impact Factor: 6.685
Abstract:
Segmentation of suspicious regions (SRs) of a thermal breast image (TBI) is a very significant and challenging problem for the identification of breast cancer. Therefore, in this work, we have proposed an active contour model for the segmentation of the SRs in TBI. The proposed segmentation method combines three significant steps. First, a novel method, called smaller-peaks corresponding to the high-intensity-pixels and the centroid-knowledge of SRs (SCH-CS), is proposed to approximately locate the SRs, whose contours are later used as the initial evolving curves of the level set method (LSM). Second, a new energy functional, called different local priorities embedded (DLPE), is proposed regarding the level set function. DLPE is then minimized using the interleaved level set evolution to segment the potential SRs in TBI more accurately. Finally, a new stopping criterion is incorporated into the proposed LSM. The proposed LSM not only increases the segmentation speed but also ameliorates the segmentation accuracy.
Author: Subhadeep Koley, Hiranmoy Roy, Debotosh Bhattacharjee
Published In: Pattern Recognition Letters
Publishing Year: 2021
Journal Impact Factor: 3.255
Abstract:
This paper presents a novel face image descriptor called Gammadion Binary Pattern of Shearlet Coefficients (GBPSC) for illumination and noise invariant, homogeneous and heterogeneous face recognition. Exploiting the energy concentration property of the Digital Shearlet Transform, an efficient illumination and noise invariant feature extractor has been devised. Finally, inspired by the Gammadion structure, a robust multi-directional local binary pattern named Gammadion Binary Pattern (GBP) has been proposed. GBP is applied on the previously extracted illumination and noise invariant feature map to generate the GBPSC images.
Author: Hiranmoy Roy, Debotosh Bhattacharjee
Published In: IEEE Transactions on Information Forensics and Security
Publishing Year: 2016
Journal Impact Factor: 6.013
Abstract:
This paper proposes a novel method called local-gravity-face (LG-face) for illumination-invariant and heterogeneous face recognition (HFR). LG-face employs a concept called the local gravitational force angle (LGFA). The LGFA is the direction of the gravitational force that the center pixel exerts on the other pixels within a local neighborhood. A theoretical analysis shows that the LGFA is an illumination-invariant feature, considering only the reflectance part of the local texture effect of the neighboring pixels. It also preserves edge information.
Author: Sourav Pramanik, Debotosh Bhattacharjee, Mita Nasipuri
Published In: IEEE Transactions on Instrumentation and Measurement
Publishing Year: 2020
Journal Impact Factor: 3.658
Abstract:
Accurate segmentation of region(s) of abnormality (RoAs) in a grayscale breast thermogram is an essential step in the automated identification of cancer in the breast. However, low contrast, intensity nonuniformity, noise, and complex background pose challenges to this segmentation task. To overcome those challenges, a novel segmentation method that amalgamates the breast blood perfusion (BBP) model, an adaptive triangular histogram-based thresholding (ATHT) method, and a new energy functional-based level set method (LSM) is proposed here. The BBP model improves the contrast between the RoA and normal tissue region in grayscale breast thermogram. The ATHT method is used for robust initialization of the proposed LSM.
Studies on some Soft Computing Techniques for Constrained Handwritten Devnagari Character Recognition
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Development of a Face Synthesis (FASY) System for Generation of Face Images from Textual Descriptions
Studies on Some Human Face Recognition Techniques Based On Optical and Thermal Images
Thermal Face Recognition for Biometric Security System
Studies on some Statistical Techniques for Face Recognition
Development of Techniques for Computer Assisted Human Healthcare
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Colorization, Processing and Retrieval of Facial Images Using Soft Computing Techniques
Human Identification Using Hand Geometry and finger profile
Design and Implementation of Novel Video Summarization Technique for Video Analysis
Registration of Range Images for Human Face Recognition
Kernel-Based Methods for Classification of Histopathological Images
Analysis of Infrared Breast Images for Early breast cancer detection
Analysis of lesions for detecting abnormalities and disease diagnosis
Quality assessment of degraded natural images due to changes in weather conditions
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Computer-aided techniques for early prediction of Colorectal Cancer (CRC) based on analysis of the diagnostic image
Address: Department of Computer Science Jadavpur University 188, Raja S. C. Mullick Road Kolkata-700 0032
Phone: +913325735112
Email: debotoshbh@gmail.com