1. National Institute of Science & Technology Fingerprint Verification Maheswar Dalai Presented By MHESWAR DALAI Roll No. #CS200127358 “Fingerprint Verification ” Under the guidance of Dr. S. K. Meher 1

2. National Institute of Science & Technology Fingerprint Verification Maheswar Dalai Introduction  Fingerprint verification is the most widely used and developed of the technologies.  There are three technologies used to get good images and these are Optical, Silicon, and Ultrasound.  Biometrics, the measurement of a unique physical characteristic, is an ideal solution to the problem of digital identification.  The biometrics available, including face, iris and retina scanning, voice identification, and others. 2

3. National Institute of Science & Technology Fingerprint Verification Maheswar Dalai History of Fingerprint Pre-history picture writing found in Nova Scotia shows a hand with ridge patterns. An ancient China thumbprints were used on clay seals to prove identity in financial transactions 1686 Marcello Malpighi, a professor of anatomy at the University of Bologna, wrote about ridges, loops, and spirals in fingerprints 1823 Processor Purkinji from the University of Breslau described nine basic fingerprint patterns. These pattern descriptors are still used today. 3

4. National Institute of Science & Technology Fingerprint Verification Maheswar Dalai Basics of Fingerprint Verification Ridges Fingerprint Identification Terminology Minutia Points Global Versus Local Features  Basic Ridge Patterns  Pattern Area  Core Area  Delta  Type Lines 4

5. National Institute of Science & Technology Fingerprint Verification Maheswar Dalai Hardware Architecture 5

6. National Institute of Science & Technology Fingerprint Verification Maheswar Dalai Hardware Details It’s working is as such:  The finger contacts the thin, light-emitting TactileSense polymer.  TactileSense creates an illuminated image.  A photodiode array embedded in the glass detects the illumination.  The image is translated into digital format by the electronics embedded into the glass.  Image data is transmitted to the device hosting the fingerprint security application for enrollment or verification. 6

7. National Institute of Science & Technology Fingerprint Verification Maheswar Dalai Software Architecture 7 User Application Development API Layer Ethentica SDK API Device Driver Fingerprint module Hardware (T_FPM)

8. National Institute of Science & Technology Fingerprint Verification Maheswar Dalai Steps of Fingerprint Verification 8 Finger Image sensor Extraction Algorithm Match Algorithm Stored Fingerprint template ImagingExtraction fingerprint image Storage fingerprint compare Match ok Or No Match

9. National Institute of Science & Technology Fingerprint Verification Maheswar Dalai Benefits of the New Technology  Reduced Size  Design Flexibility  Lower Power Consumption  Lower Cost/Long-Term Cost Efficiencies  Reliability  Durability/Decreased Risk of Failure 9

10. National Institute of Science & Technology Fingerprint Verification Maheswar Dalai Development Tools Hardware T-FPM Fingerprint Sensor, Mechanical and Electrical Design Specifications Platform Support Windows95, Windows 98, Windows NT and Windows 2000 Drivers. Tool Kit Softaware development tools include: 1. Raw fingerprint image data acquisition 2. Device initialization 3. Verification/ authentication of fingerprints. 10

11. National Institute of Science & Technology Fingerprint Verification Maheswar Dalai Advantages Each and every one of our ten fingerprints is unique, different from another and from those of every other person. Even identical twines have unique fingerprints. Unlike passwords, PIN codes, and smartcards that we depend upon today for identification, our fingerprints are impossible to lose or forge, and they can never be stolen. We have ten fingerprints as opposed to one voice, one face or two eyes. Fingerprints have been used for centuries for identification, and we have a substantial body of real world data upon which to base our claim of the uniqueness of each fingerprint. Iris scanning, for instance, is an entirely new science for which there is little or no real world data. 11

12. National Institute of Science & Technology Fingerprint Verification Maheswar Dalai Conclusion Fingerprint verification method is the most popular method among all the biometrics methods for identification/verification of a person. For many companies, fingerprint verification system are the perfect answer to the expensive and time- consuming problems of fraud, theft, and access control Technical and financial consideration aside, biometrics facial can pose a significant cultural challenge and introducing fingerprint scanners desktop or a recognition entry system has to be done sensitively 12

13. National Institute of Science & Technology Fingerprint Verification Maheswar Dalai Thank U… 13

14. National Institute of Science & Technology Fingerprint Verification Maheswar Dalai