Supreetha Gowda H D

Passionate Teacher with 11+ years of teaching experience, researcher from past 10 years in the field of AI and ML.

Research Interest

Image Processing, Pattern Recognition, Computer Vision, Biometrics, Machine learning, Algorithms, Data Structure, Linear Algebra.

Cleared KSET- KSET Pareeksha Bhavan University of Mysore, in the batch of DEC 2015.

Life Member of Indian Science Congress with the membership No (L33150).

TITLE OF THESIS

Robust Multimodal Biometric Recognition and Verification Systems for Person Authentication.

Supervisor

Dr. G Hemantha Kumar,

Former Vice-Chancellor and Professor

Department of Studies in Computer Science

University of Mysore, Mysore, India.

Description : Achieving performance for an automated biometric system is crucial to prove that it is robust to real time noise encounter that determines the expected behavior of the system, robustness is verified considering different types of spatial noises at varied levels of noise intensities. Deep learning is based on artificial neural network which generates feature hierarchies by statistical machine learning techniques, deep features for biometric data is extracted from newly proposed CNN architecture and compared with features extracted from conventional methods, performance and robustness of the developed system is studied in detail.

The proposed research work aims at exploring and developing the algorithm to address the following

Ø Explored the performance of single classifier and ensemble classifier models.

Ø Investigated score level fusion under several rules of combination.

Ø Exploring the robustness of both unimodal and multimodal biometric systems considering different types noises.

Ø Determine nature of robustness between conventional/traditional techniques.

Ø Proposal of a novel deep learning architecture for biometric data.

• Method and System to Find Anamoly Detection in Medical Record. Patent Office Journal No. 04/2022, With the Application No. 202241002593 A, Dated 28/01/2022.

1. H D Supreetha Gowda., G Hemantha Kumar and Mohammad Imran. Robust Analysis of Multibiometric Fusion Versus Ensemble Learning Schemes: A Case Study Using Face and Palmprint, International Journal of Biometrics & Bioinformatics (IJBB) 2016, Vol. 10, no. 3, pp. 24-33.

2. H D Supreetha Gowda., G Hemantha Kumar and Mohammad Imran. Multimodal biometric system on various levels of fusion using LPQ features, Journal of Information and Optimization Sciences 2018, Vol. 39, no.3, pp. 169-181.

3. H D Supreetha Gowda., Mohammad Imran and G Hemantha Kumar. Noise-robust hand based multimodal biometric system using ICA features, International Journal of Advanced Research in Computer Science 2018, Vol. 9, no. 3, pp. 105-109.

4. H D Supreetha Gowda., G Hemantha Kumar and Mohammad Imran. Robust Analysis of Multimodal Biometric Verification System Under Various Spatial Noise Conditions, International Journal of Computer Sciences and Engineering 2018, Vol. 6, no. 11, pp. 579-590.

1. H D Supreetha Gowda., G   Hemantha Kumar. Feature level fusion of texture based methods: A comparative   study. International Conference on Communication and Computing (ICC) 2015,   McGraw Hill Education, pp. 340-346.

2. H D Supreetha Gowda., G   Hemantha Kumar and Mohammad Imran. Combination of physiological and behavioral   modalities based on score level fusion. Second International Conference on   Electrical, Computer and Communication Technologies (ICECCT) 2017, IEEE, pp.   1-5.

3. H D Supreetha Gowda., G   Hemantha Kumar and Mohammad Imran. Robust multimodal biometric verification   system based on face and fingerprint. International Conference on Advances in   Computing, Communications and Informatics (ICACCI) 2017, IEEE, pp. 243-247.

4. H D Supreetha Gowda., G   Hemantha Kumar. Evaluation of Texture Features for Biometric Verification   System Using Handvein and Finger Knuckleprint. Recent Trends in Image   Processing and Pattern Recognition (RTIP2R) 2017, Springer - CCIS, vol. 709,   pp. 420-428.

5. H D Supreetha Gowda., G   Hemantha Kumar and Mohammad Imran. M. Robust Multimodal Handvein and   Palmprint Based Verification System in the Presence of Salt and Pepper Noise.   International Conference on Current Trends towards Converging Technologies   (ICCTCT) 2018, IEEE, pp. 1-4.

6. H D Supreetha Gowda., G   Hemantha Kumar and Mohammad Imran. Feature level fusion of Face and Iris   using Deep Features based on Convolutional Neural Networks. International   Conference on Advances in Computing, Communications and Informatics (ICACCI)   2018, IEEE, pp. 116-119.

7. H D Supreetha Gowda., G   Hemantha Kumar and Mohammad Imran. Multimodal Biometric Recognition System   Based on Nonparametric Classifiers, Data Analytics and Learning. Lecture   Notes in Networks and Systems 2018, Springer, Singapore, vol. 43, pp.   269-278.

8. H D Supreetha Gowda., G   Hemantha Kumar and Mohammad Imran. Ensemble Based Learning with Stacking,   Boosting and Bagging for Unimodal Biometric Identification System. 12th   International Conference on Recent Trends in Engineering and Technology 2017,   pp. 30-36.

9. H D Supreetha Gowda., G   Hemantha Kumar and Mohammad Imran. Evaluation of Subspace and Kernel based   Features for Biometric Verification System Using Handvein and Finger   Knuckleprint. 105th The Indian Science Congress Association (ISCA).

10. H D Supreetha Gowda., G   Hemantha Kumar and Mohammad Imran. Biometric verification system based on   Density and classifier based score level fusion, International Conference on   Smart Systems and Inventive Technology (ICSSIT) 2018, IEEE. pp. 1-4.

11. H D Supreetha Gowda., G   Hemantha Kumar and Mohammad Imran. Multimodal biometric verification system:   Evaluation of various score level fusion rules. International Conference on   Electrical, Computer and Communication Technologies (ICECCT) 2019, IEEE. pp   1-4.

12. H D Supreetha Gowda., G   Hemantha Kumar and Mohammad Imran. Performance Analysis of Log-Gabor based   Multimodal Systems and its Fusion Techniques. Recent Trends in Image   Processing and Pattern Recognition. (RTIP2R) 2018, Communications in Computer   and Information Science (CCIS), vol.1035, Springer, Singapore, pp 240-254.

13. H D Supreetha Gowda., G   Hemantha Kumar and Mohammad Imran. Multispectral palmprint biometric   verification system using deep CNN. Recent Trends in Image Processing and   Pattern Recognition (RTIP2R) 2018, vol.1036, Springer, Singapore, pp 505-513.

14. H D Supreetha Gowda., G   Hemantha Kumar and Mohammad Imran. Robust deep CNN architecture for person verification   system using multimodal biometric approaches. 107th The Indian Science   Congress Association (ISCA) 2020.

15. Harbi   Al Mahafzah, Mohammad Imran, and Supreetha   Gowda H. D. Parametric classification of handvein patterns based on   texture features. AIP Conference Proceedings 1952, 020057 (2018). Pp   (020057-1 to 020057-8).

16. Supreetha Gowda H D, Mohammad   Imran, Mohan Kumar, and Naveeda Mommal. Extensive analysis of Deep CNN based   Multispectral Palmprint Verification System on all   Fusion Levels. AI Summit 2023 Towards Smart Sustainable Society   [AISSS2023], Springer (Accepted) and BEST PAPER AWARDED.

1. Soft computing Techniques to Pattern   Recognition, 3rd -5th November 2016, Organized by   Department of Computer Science, University of Mysore, Mysore.

2. National Workshop on Natural Language   Processing, 23rd – 30th November 2016, Organized by   Central Institute of Indian Languages, Department of Higher Education,   Mysore

3. Theoretical Aspects of Fuzzy C-Mean   Clustering, 11th February 2017 Organized by Department of Computer   Science, University of Mysore, Mysore.

4. Tutorials on Machine learning, 28-29th  March 2018, Organized by Department of Computer Science, University of   Mysore, Mysore.

5. Machine learning: Insights and   Application, 25 -30th July 2018, Department of Electronic and   Communication Engineering, Vidyavardhaka college Engineering, Gokulam III   stage, Mysore.

Programming   Languages

PYTHON, MATLAB, C,   C++, MySQL.

Platforms

Windows, Unix

My DOB  17-11-1989

Father's Name: Devaraje Gowda

Mother's Name:Pushpa S

Languages:

Kannada

Fluent (My   native language.)

English

Fluent

Hindi

Fluent

Dr. G. Hemantha Kumar

Former Vice-Chancellor and Professor

Department of Studies in Computer Science

University of Mysore, Manasagangothri

Mysore – 570 006, INDIA.

ghk.2007@yahoo.com

Phone: +91 9845113623

Dr. Ashok Rao

Professor and Former Head,

Network Project,

CEDT, Indian Institute of Science,

BANGALORE- 570 012

Email :ashokrao.mys@gmail.com

Phone: +91 8971210202

Dr. D S Guru

Professor

Department of Studies in Computer Science

University of Mysore,

Manasagangorthri,

MYSORE- 570 006

Email: dsg@compsci.uni-mysore.ac.in

Phone : +91 9620228005