kugytdresyt

1. 2/4/2024 SUGANTHA PRIYADHARSHINI.P
ME-CSE
1
Efficient Authentication Method using Score
level fusion of Multimodal Biometrics
P.Sugantha Priyadharshini
09MCS22

2. 2/4/2024 SUGANTHA PRIYADHARSHINI.P
ME-CSE
2
Area-Digital Image Processing
 Digital Image Processing
- perform image processing on digital images
- focuses on two major tasks
 Digital Image
- 2-dimensional image as set of elements called pixels

3. 2/4/2024 SUGANTHA PRIYADHARSHINI.P
ME-CSE
3
Continued….
 Applications
- Digital camera images
- Film
 Advantages
- easy to manipulate.
- compact storage.
- easy to store and use
- efficient.
- less expensive

4. 2/4/2024 SUGANTHA PRIYADHARSHINI.P
ME-CSE
4
Need for Digital Image Processing
 Basic need – Biometrics
 Biometrics – measuring person’s
- physiological features
- behavioral features

5. 2/4/2024 SUGANTHA PRIYADHARSHINI.P
ME-CSE
5
Types of Biometric identification
schemes(Metrics…)
 face
 fingerprint
 hand geometry
 retina
 iris
 signature
 vein
 voice

6. 2/4/2024 SUGANTHA PRIYADHARSHINI.P
ME-CSE
6
Benefits of Biometrics
 Unique
 Cannot be shared
 Cannot be copied
 Cannot be lost

7. 2/4/2024 SUGANTHA PRIYADHARSHINI.P
ME-CSE
7
Questioning points of view
 Is it more accurate?
 Is it reliable user authentication?
 Whether can be duplicated?
 Is there anything be lost or forgettable?
 Whether any fraudulent takes place?
Biometrics is not possible for every persons such as
- person without hands,proper eye sight
- person working in chemical industries etc……..

8. 2/4/2024 SUGANTHA PRIYADHARSHINI.P
ME-CSE
8
Rationale for the Project
 Starting point
- biometric authentication
- cant be duplicated,forged ,lost or forgettable
 Target
- multimodal biometrics
- multiple biometrics accurate authentication

9. 2/4/2024 SUGANTHA PRIYADHARSHINI.P
ME-CSE
9
Continued…….
 Methodology
- Fusion Score level fusion
- better recognition performance

10. 2/4/2024 SUGANTHA PRIYADHARSHINI.P
ME-CSE
10
References
 Chander Kant, Rajender Nath, “Reducing Process-Time for
Fingerprint IdentificationSystem”, International Journals of
Biometric and Bioinformatics, Vol. 3, Issue 1, pp.1-9, 2009.
 Aloysius George, “Multi-Modal Biometrics Human
Verification using LDA and DFB”,International Journal of
Biometric and Bioinformatics, Vol. 2, Issue 4, pp.1 -10, 2008.
 A.K. Jain, A. Ross, S. Prabhakar, An introduction to
biometricrecognition, IEEE Trans. Circuits Systems Video
Technol. 14(1) (2004) 4–20 (special issue on image- andvid
eo-basedbiometrics).

11. 2/4/2024 SUGANTHA PRIYADHARSHINI.P
ME-CSE
11
Thank You