1 / 9

Fingerprint Matching Technology The Basics

Fingerprint Matching Technology The Basics. Overview. A wide variety of fingerprint matching software and hardware is available AuthenTec sensors can work with most varieties of matching systems including: AuthenTec supplied matchers Most independently available matchers

pascal
Télécharger la présentation

Fingerprint Matching Technology The Basics

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Fingerprint Matching TechnologyThe Basics

  2. Overview • A wide variety of fingerprint matching software and hardware is available • AuthenTec sensors can work with most varieties of matching systems including: • AuthenTec supplied matchers • Most independently available matchers • Fingerprint matchers are catagorized: • Primarily - by type of data used • Secondarily – by method of comparing that data

  3. What data is in a Fingerprint Image? • Ridge Patterns • Macro-features • Core, deltas, scars • Classical Ridge Minutia • Generalized Pattern • Specific ridge pattern • Fine Structure • Ridge shape • Lateral ridge shape • Vertical ridge shape • Local curvature • Pores (sweat glands)

  4. What data is in a Fingerprint Image? • Ridge Patterns • Macro-features • Core, deltas, scars • Classical Ridge Minutia • Generalized Pattern • Specific ridge pattern • Fine Structure • Ridge shape • Lateral ridge shape • Vertical ridge shape • Local curvature • Pores (sweat glands)

  5. What data is in a Fingerprint Image? • Ridge Patterns • Macro-features • Core, deltas, scars • Classical Ridge Minutia • Generalized Pattern • Specific ridge pattern • Fine Structure • Ridge shape • Lateral ridge shape • Vertical ridge shape • Local curvature • Pores (sweat glands)

  6. What data is in a Fingerprint Image? • Ridge Patterns • Macro-features • Core, deltas, scars • Classical Ridge Minutia • Generalized Pattern • Specific ridge pattern • Fine Structure • Ridge shape • Lateral ridge shape • Vertical ridge shape • Local curvature • Pores (sweat glands)

  7. How is this data best used?

  8. Commercial Fingerprint Matcher Trends • Take advantage of the higher powered processors and higher quality images to match with small-area sensors • Utilize smaller & denser features • That are now sufficiently repeatable (in images from the best quality sensors) for use in matching • to achieve accurate matching with small-area sensors • Multiple view compositing (mosaic building) • Permits flexible finger positioning even on very small sensors • Optimized for 1 to few matching • For personal computing and communication devices • Eliminates the complex structures used for large database searching and indexing

  9. For more information … Click here to learn how very small fingerprint sensors work Click here to learn about Specifying commercial biometric systems Back to Beginning

More Related