Libros importados con hasta 50% OFF + Envío Gratis a todo USA  Ver más

menu

0
  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional
portada Efficient Biometric Indexing and Retrieval Techniques for Large-Scale Systems (in English)
Type
Physical Book
Publisher
Language
Inglés
Pages
67
Format
Paperback
Dimensions
23.4 x 15.6 x 0.5 cm
Weight
0.14 kg.
ISBN13
9783319576596

Efficient Biometric Indexing and Retrieval Techniques for Large-Scale Systems (in English)

Munaga V. N. K. Prasad (Author) · Ilaiah Kavati (Author) · Chakravarthy Bhagvati (Author) · Springer · Paperback

Efficient Biometric Indexing and Retrieval Techniques for Large-Scale Systems (in English) - Kavati, Ilaiah ; Prasad, Munaga V. N. K. ; Bhagvati, Chakravarthy

Physical Book

$ 52.09

$ 54.99

You save: $ 2.90

5% discount
  • Condition: New
It will be shipped from our warehouse between Friday, June 28 and Monday, July 01.
You will receive it anywhere in United States between 1 and 3 business days after shipment.

Synopsis "Efficient Biometric Indexing and Retrieval Techniques for Large-Scale Systems (in English)"

This work presents a review of different indexing techniques designed to enhance the speed and efficiency of searches over large biometric databases. The coverage includes an extended Delaunay triangulation-based approach for fingerprint biometrics, involving a classification based on the type of minutiae at the vertices of each triangle. This classification is demonstrated to provide improved partitioning of the database, leading to a significant decrease in the number of potential matches during identification. This discussion is then followed by a description of a second indexing technique, which sorts biometric images based on match scores calculated against a set of pre-selected sample images, resulting in a rapid search regardless of the size of the database. The text also examines a novel clustering-based approach to indexing with decision-level fusion, using an adaptive clustering algorithm to compute a set of clusters represented by a 'leader' image, and then determining the index code from the set of leaders. This is shown to improve identification performance while using minimal resources.

Customers reviews

More customer reviews
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)

Frequently Asked Questions about the Book

All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews