logging in or signing up BIO METRICS siddharthainkick Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINT lite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 653 Category: Science & Tech.. License: All Rights Reserved Like it (0) Dislike it (0) Added: January 11, 2011 This Presentation is Public Favorites: 2 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript Slide 1: by Manikanta . S (C.S.E) Siddhartha. P (C.S.E) BIO METRICSSlide 2: CONTENTS : Introduction Principle How the IDEA took up? Architecture (working) Biometrics Classification Applications of Biometric Systems Limitations Future of Biometrics ConclusionSlide 3: Biometrics : Definition: “Biometrics is the identification or verification of Human identity through the measurement of repeatable physiological and behavioral characteristics” By using biometrics a person could be identified based on "who she/he is" rather then "what she/he has" (card, token, key) or "what she/he knows"(password, PIN).Slide 4: Enrollment principle : A sample of the biometric trait is captured, processed by a computer, and stored for later comparison. Verification principle : In this mode biometric system authenticates a person’s claimed identity from their previously enrolled pattern. Principle :Slide 5: How the Idea took up ? Tempting of Science-Fiction (SCI-FI) futuristic Technology An Idea is nothing but a spark of intelligence Bertillonage Richard Edward Henry Joao de BarrosSlide 6: BIOMETRIC SYSTEM ARCHITECTURE Major components of a biometric system: Data collection Signal processing Matching Decision Storage TransmissionSlide 7: Raw data Extracted features Template Authentication decision Data collection Signal processing Matching Storage Match score Decision Application PICTORIAL ANALYSISSlide 8: Categories of Biometrics : Physiological : They are related to the shape of the body. Examples- Face, Fingerprints, hand geometry and iris recognition, DNA It can be sorted into two classes 2.Behavoral : They are related to the behavior of a person. Examples -signature and voice . Bio-Signature Pen Finger PrintsSlide 9: Classification : Physical Behavioral Head Hand Signature Voice Others (Gesture, gait, Keystroke) Face Iris Others (Ear, Retina, Dental) Fingerprint Hand Geometry Palmprint Others (finger) BiometricsSlide 10: Various Biometrics types: DNA Fingerprinting Face Recognition Fingerprint Hand & Finger Geometry Iris Scan Retina Scan Signature Verification Voice RecognitionSlide 11: Signature Verification Physical Activity of Signing: Stroke Order, Pressure applied & Speed measured Used in providing access to Documents, Banking Services, etc Voice Recognition Based on Shape & Size of Vocal Tracts, Mouth, Nasal Cavity and Lips Used in Phone Based Applications Demerits: Sensitive to noise, Not appropriate for large scale applicationSlide 12: DNA Fingerprinting 0.1% DNA would be unique for a person Identical Twins do not have same DNA Used in Forensic Application, Paternity Determination, etc Iris Scan Scans over 200 points of the Iris Used in ID Cards, Passports, Border Control, Restricted AreasSlide 13: Hand Scan Hand-scan reads the top and sides of the hands and fingers, using such metrics as the height of the fingers, distance between joints, and shape of the knuckles. Fingerprint A fingerprint image is read from a capture device, features are extracted from the image, and a template is created.Slide 14: Which biometric method / product is best? Depends on the application reliability security performance cost user acceptance liveness detection users that are unsuitable size of sensorSlide 15: APPLICATION : Physical access control To high security areas To public buildings or areas Time & attendance control Identification Forensic person investigation Social services applications, e.g. immigration or prevention of welfare fraud Perso nal d ocuments, e.g. electronic drivers license or ID cardSlide 16: APPLICATION : Access control To devices Cellular phones Logging in to computer, laptop, or PDA Cars Guns, gun safes To local services Debitting money from cash dispenser Accessing data on smartcardLimitations Of Biometric Systems: Limitations Of Biometric Systems Noise in Sensed Data Intra-class Variations Distinctiveness Non-universality Spoof AttacksSlide 18: Future of Biometrics : Plays a Major role in Private Industries There will be a popular tendency which can be regarded as a SCI-FI technology Biometric is a Future of security which leads to the accurate identification It will Further develops to a 3D face Recognitions Technology and handles the visitors managementConclusion :: Conclusion : Biometric technology has great potential There are many biometric products around, based on different biometric technologies Shortcomings of biometric systems due to manufacturers ignorance of security concerns lack of quality controlSlide 20: Queries? 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BIO METRICS siddharthainkick Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINT lite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 653 Category: Science & Tech.. License: All Rights Reserved Like it (0) Dislike it (0) Added: January 11, 2011 This Presentation is Public Favorites: 2 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript Slide 1: by Manikanta . S (C.S.E) Siddhartha. P (C.S.E) BIO METRICSSlide 2: CONTENTS : Introduction Principle How the IDEA took up? Architecture (working) Biometrics Classification Applications of Biometric Systems Limitations Future of Biometrics ConclusionSlide 3: Biometrics : Definition: “Biometrics is the identification or verification of Human identity through the measurement of repeatable physiological and behavioral characteristics” By using biometrics a person could be identified based on "who she/he is" rather then "what she/he has" (card, token, key) or "what she/he knows"(password, PIN).Slide 4: Enrollment principle : A sample of the biometric trait is captured, processed by a computer, and stored for later comparison. Verification principle : In this mode biometric system authenticates a person’s claimed identity from their previously enrolled pattern. Principle :Slide 5: How the Idea took up ? Tempting of Science-Fiction (SCI-FI) futuristic Technology An Idea is nothing but a spark of intelligence Bertillonage Richard Edward Henry Joao de BarrosSlide 6: BIOMETRIC SYSTEM ARCHITECTURE Major components of a biometric system: Data collection Signal processing Matching Decision Storage TransmissionSlide 7: Raw data Extracted features Template Authentication decision Data collection Signal processing Matching Storage Match score Decision Application PICTORIAL ANALYSISSlide 8: Categories of Biometrics : Physiological : They are related to the shape of the body. Examples- Face, Fingerprints, hand geometry and iris recognition, DNA It can be sorted into two classes 2.Behavoral : They are related to the behavior of a person. Examples -signature and voice . Bio-Signature Pen Finger PrintsSlide 9: Classification : Physical Behavioral Head Hand Signature Voice Others (Gesture, gait, Keystroke) Face Iris Others (Ear, Retina, Dental) Fingerprint Hand Geometry Palmprint Others (finger) BiometricsSlide 10: Various Biometrics types: DNA Fingerprinting Face Recognition Fingerprint Hand & Finger Geometry Iris Scan Retina Scan Signature Verification Voice RecognitionSlide 11: Signature Verification Physical Activity of Signing: Stroke Order, Pressure applied & Speed measured Used in providing access to Documents, Banking Services, etc Voice Recognition Based on Shape & Size of Vocal Tracts, Mouth, Nasal Cavity and Lips Used in Phone Based Applications Demerits: Sensitive to noise, Not appropriate for large scale applicationSlide 12: DNA Fingerprinting 0.1% DNA would be unique for a person Identical Twins do not have same DNA Used in Forensic Application, Paternity Determination, etc Iris Scan Scans over 200 points of the Iris Used in ID Cards, Passports, Border Control, Restricted AreasSlide 13: Hand Scan Hand-scan reads the top and sides of the hands and fingers, using such metrics as the height of the fingers, distance between joints, and shape of the knuckles. Fingerprint A fingerprint image is read from a capture device, features are extracted from the image, and a template is created.Slide 14: Which biometric method / product is best? Depends on the application reliability security performance cost user acceptance liveness detection users that are unsuitable size of sensorSlide 15: APPLICATION : Physical access control To high security areas To public buildings or areas Time & attendance control Identification Forensic person investigation Social services applications, e.g. immigration or prevention of welfare fraud Perso nal d ocuments, e.g. electronic drivers license or ID cardSlide 16: APPLICATION : Access control To devices Cellular phones Logging in to computer, laptop, or PDA Cars Guns, gun safes To local services Debitting money from cash dispenser Accessing data on smartcardLimitations Of Biometric Systems: Limitations Of Biometric Systems Noise in Sensed Data Intra-class Variations Distinctiveness Non-universality Spoof AttacksSlide 18: Future of Biometrics : Plays a Major role in Private Industries There will be a popular tendency which can be regarded as a SCI-FI technology Biometric is a Future of security which leads to the accurate identification It will Further develops to a 3D face Recognitions Technology and handles the visitors managementConclusion :: Conclusion : Biometric technology has great potential There are many biometric products around, based on different biometric technologies Shortcomings of biometric systems due to manufacturers ignorance of security concerns lack of quality controlSlide 20: Queries?