Biometric
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A representation of biometric technology and they help us for getting a more secure life. Different type of biometric system and how they work.
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This presentation discusses biometrics, which refers to using physiological or behavioral characteristics to identify individuals. It covers various biometric methods like fingerprints, iris scans, facial recognition and voice recognition. These can be used for identification or verification purposes. The document also discusses applications of biometrics in areas like border security, ATMs and building access. While biometrics provide improved security, some methods are costly and biometric features may change over time posing challenges. The presentation concludes that adoption of biometrics will be important for security across various sectors going forward.
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First of all, Thank you for giving this opportunity of presenting my knowledge with you all, hope this is helpful to learn something regarding biometric technology
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This document discusses biometrics, which uses physiological or behavioral characteristics to identify individuals. It outlines the history of biometrics dating back to fingerprint use in China in the 14th century. Various biometric techniques are described like fingerprints, facial recognition, iris scans, and hand geometry. Biometrics works by recording and comparing these characteristics using biometric devices and databases. Applications of biometrics include access control systems, e-commerce, banking, and crime investigation. While biometrics provides security, issues around privacy, identity risks, and technology limitations require consideration.
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This document discusses biometrics, which uses human body characteristics to authenticate identity. It describes biometric devices that scan and digitize characteristics like fingerprints, irises, voice patterns. Biometrics can be physiological (face, fingerprints) or behavioral (signature, voice). To be used for identification, characteristics must be universal, unique, permanent, collectible, and difficult to circumvent. The document outlines various biometric modalities like fingerprint recognition, face recognition, voice recognition, and iris recognition. It also discusses advantages like accuracy but notes disadvantages like cost and changing characteristics with age, disease, or environment.
Biometricstechnology in iot and machine learning
Ravi Kumar presented on biometrics technology. The presentation discussed what biometrics is, the importance of biometrics for security and convenience, and the history of biometrics. It described various physical and behavioral biometric characteristics like fingerprints, face recognition, iris scans, and voice recognition. Applications of biometrics technology discussed included access control, time and attendance tracking, and use at airports and ATMs. Both advantages like uniqueness and accountability and disadvantages like costs and potential for false readings were covered. Emerging biometric technologies of the future may include ear shape, body odor, and DNA identification.
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Biometric
- 1. A Presentation on Biometric Technology 1
- 2. Presentation outlines Introduction Physiological finger recognition Facial recognition Hand Geometry Iris recognition Behavirol Biometrics Speaker/voice recognition Signature Applications Need of biometric(frauds in industry) Advantages and disadvantages Conclusion 2
- 3. Introduction The term “biometric” is derived from the Greek words bio (life) and metric(to measure). For our use biometrics refers to technologies for measuring and analysing person's physiological or behavioural characteristics These characteristics are unique to individuals hence can be used to verify or identify a person. 3
- 4. 4
- 5. Finger Recognition A fingerprint sensor is an electronic device used to capture a digital image of the fingerprint pattern. The captured image is called a live scan. This live scan is digitally processed to create a biometric template (a collection of extracted features) which is stored and used for matching. This is an overview of some of the more commonly used fingerprint sensor technologies. 5
- 6. Facial Recognition Capture image Find face in image Extract features (store template) Compare templates Declare matches 6
- 7. Hand or finger geometry is an automated measurement of many dimensions of the hand and fingers. Hand Geometry 7
- 8. Iris Recognition Iris scanning measures the iris pattern in the colored part of the eye, 8
- 9. Speaker / Voice Recognition Voice or speaker recognition uses vocal characteristics to identify individuals using a pass- phrase. A telephone or microphone can serve as a sensor, 9
- 10. Signature Verification An automated method of measuring an individual’s signature. This technology examines speed,direction, and pressure of writing; the time that the stylus is in and out of contact with the “paper’’. 10
- 11. Prevent unauthorized access to ATMs, Cellular phones Desktop PCs Criminal identification In automobiles biometrics can replace keys with keyless entry devices Airport security Applications 11
- 13. Conclusion Biometric is an emerging area with many opportunities for growth. Possibly in the near future, you will not have to remember PINs and passwords and keys in your bags or pockets will be things of the past. 13
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