Dr Supreetha Gowda HD

Current Position: Assistant Professor,
Qualification: B.Sc.,M.Sc.,Ph.D.
Teaching Experience: 11+ years
Specialization: Image Processing and Pattern Recognition.

Articles in Journals& Periodicals

Sl. No.	Year	Title	Name of Journal / Vol. No. / Issue No. / Page Nos	ISSN No.
1	2016	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.	ISSN – 1985-2347
2	2018	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.	ISSN: 2169-0103
3	2018	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.	ISSN: 0976-5697
4	2018	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.	ISSN : 2347-2693

Presentation &Participation in Seminars/Conferences/Symposium

Sl. No	Year	Type of the Programme	Name of the Conference /Seminar /Symposium	Title of the Paper	Role	State / National / Inter National
1	2015	Conference	International Conference on Communication and Computing (ICC).	Feature level fusion of texture based methods: A comparative study.	Presented Paper	Inter National
2	2017	Conference	IEEE – Second International Conference on Electrical, Computer and Communication Technologies (ICECCT).	Combination of physiological and behavioral modalities based on score level fusion.	Presented Paper	Inter National
3	2017	Conference	IEEE – International Conference on Advances in Computing, Communications and Informatics (ICACCI)	Robust multimodal biometric verification system based on face and fingerprint.	Presented Paper	Inter National
4	2017	Conference	Springer – Recent Trends in Image Processing and Pattern Recognition (RTIP2R), CCIS, vol. 709.pp. 420-428.	Evaluation of Texture Features for Biometric Verification System Using Handvein and Finger Knuckleprint.	Presented Paper	Inter National
5	2018	Conference	IEEE – International Conference on Current Trends towards Converging Technologies (ICCTCT).	Robust Multimodal Handveinand Palmprint Based Verification System in the Presence of Salt and Pepper Noise.	Presented Paper	Inter National
6	2018	Conference	IEEE – International Conference on Advances in Computing, Communications and Informatics (ICACCI).	Feature level fusion of Face and Iris using Deep Features based on Convolutional Neural Networks.	Presented Paper	Inter National
7	2018	Conference	Springer(Singapore, vol. 43)-Data Analytics and Learning. Lecture Notes in Networks and Systems.	Multimodal Biometric Recognition System Based on Nonparametric Classifiers.	Presented Paper	Inter National
8	2017	Conference	12th International Conference on Recent Trends in Engineering and Technology.	Ensemble Based Learning with Stacking, Boosting and Bagging for Unimodal Biometric Identification System.	Presented Paper	Inter National
9	2018	Conference	105th The Indian Science Congress Association (ISCA).	Evaluation of Subspace and Kernel based Features for Biometric Verification System Using Handvein and Finger Knuckleprint.	Presented Paper	Inter National
10	2018	Conference	IEEE -International Conference on Smart Systems and Inventive Technology (ICSSIT).	Biometric verification system based on Density and classifierbased score level fusion,	Presented Paper	Inter National
11	2019	Conference	IEEE – International Conference on Electrical, Computer and Communication Technologies (ICECCT).	Multimodal biometric verification system: Evaluation of various score level fusion rules.	Presented Paper	Inter National
12	2018	Conference	Recent Trends in Image Processing and Pattern Recognition. (RTIP2R) Communications in Computer and Information Science (CCIS), vol.1035, Springer, Singapore, pp 240-254.	Performance Analysis of Log-Gabor based Multimodal Systems and its Fusion Techniques.	Presented Paper	Inter National
13	2018	Conference	Recent Trends in Image Processing and Pattern Recognition (RTIP2R) vol.1036, Springer, Singapore, pp 505-513.	Multispectral palmprint biometric verification system using deep CNN.	Presented Paper	Inter National
14	2020	Conference	107th The Indian Science Congress Association (ISCA)	Robust deep CNN architecture for person verification system using multimodal biometric approaches.	Presented Paper	Inter National
15	2018	Conference	AIP Conference Proceedings	Parametric classification of handvein patterns based on texture features.	Presented Paper	Inter National

Invited Talks

Sl. No.	Year	Name of the Program	Organization & Place
1	November 2014 to December 2014	Visiting Faculty, Huanghuai University of China, Zhumadian, China.	China
2	June-July 2016	Visiting Faculty, Huanghuai University of China, Zhumadian, China.	China
3	04-02-2022	Faculty Development Program on “Literature Review”	Sheshadripuram Degree College, Mysore.

Workshop/FDP/Training Programme

Sl. No.	Year	Name of the Workshop/FDP/Training programme	Name of Organizer	Role
1	3rd -5th November 2016	Soft computing Techniques to Pattern Recognition	Department of Computer Science, University of Mysore, Mysore	Participation
2	23rd – 30th November 2016	National Workshop on NaturalLanguage Processing	Central Institute of Indian Languages, Department of Higher Education, Mysore.	Participation
3	11th February 2017	Theoretical Aspects of Fuzzy C-Mean Clustering	Department of Computer Science, University of Mysore, Mysore.	Participation
4	28-29th March 2018	Tutorials on Machine learning	Department of Computer Science, University of Mysore, Mysore.	Participation
5	25 -30th July 2018	Machine learning: Insights and Application.	Vidyavardhaka college Engineering, Gokulam III stage, Mysore.	Participation

Awards/Achievements

Sl. No.	Year	Name of the Awards / Achievements	Description	Name of Organization
1	DEC 2015.	KSET	The KSET (Karnataka State Eligibility Test) is a state-level exam conducted by the Karnataka State Eligibility Test Centre, University of Mysore.	Pareeksha Bhavan, University of Mysore
2	2023	Received Best Oral Presentation award for the presentation on “Extensive analysis of Deep CNN based Multispectral Palmprint Verification System on all Fusion Levels.”	Palmprint is universal, unique, and acceptable biometric trait with higher reliability. Real world systems demand highly precision-wise identification systems; multispectral imaging provides dominant discriminative features and is robust against anti-spoofing. Each individual spectral band highlights different kinds of palm features. This paper proposes a CNN-based multispectral palmprint biometric system which is developed under a novel deep learning architecture that meets real-time application requirements. The adopted PolyU multispectral database consists of palmprint images collected under red, green, blue, and near-infrared (NIR) illuminations. We have investigated the performance of the system in individual spectral band and also analyzed the verification rate by combining images obtained from different spectral band. After analyzing the features from different spectral bands, we have developed biometric system under pre- and post-classification approaches to combine multispectral data.	AI Summit Towards Smart Sustainable Society [AISSS2023], Springer.

Copyright / Patent

Sl. No.	Year	Title	National / Inter National
1	Dated 28/01/2022.	Method and System to Find Anamoly Detection in Medical Record. Patent Office Journal No. 04/2022, With the Application No. 202241002593 A,	Indian Patent

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