你好! Shipping to Taiwan with premium packaging for just NT$300 

Ship to
Taiwan
0

My Account

  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional

menu

Select your country

Americas

Europe

Rest of the world

portada Vision Based Sign Language Identification System Using Facet Analysis
Type
Physical Book
Publisher
Author
Language
English
Pages
74
Format
Paperback
ISBN13
9783656698029

Vision Based Sign Language Identification System Using Facet Analysis

Faryal Amber (Author) · Grin Verlag · Paperback

Vision Based Sign Language Identification System Using Facet Analysis - Faryal Amber

New Book Imported to Taiwan
Delivery: 06 Oct - 14 Oct Shipping: 14 to 15 business days.
NT$ 1,666
NT$ 1,666

Choose the list to add your product or create one New List

Go to My Wishlists
Calculate shipping cost

Synopsis "Vision Based Sign Language Identification System Using Facet Analysis"

Bachelor Thesis from the year 2013 in the subject Computer Science - Software, grade: A+, language: English, abstract: The communication gap between the deaf and hearing population is clearly noticed. To make possible the communication between the Deaf and the hearing population and to overpass the gap in access to next generation Human Computer Interfaces, automated sign language analysis is highly crucial. Conversely, an enhanced solution is to build up a conversion system that translates a sign language gestures to text or speech. Exploration and experimentation of an efficient methodology based on facet features analysis. For a recognition system that can recognize gestures from video which can be used as a translation, A methodology has been proposed that extracts candidate hand gestures from sequence of video frames and collect hand features. The system has three separate parts namely: Hand Detection, Shape Matching and Hu moments comparison. The Hand Detection section detects hand through skin detection and by finding contours. It also includes processing of video frames. The procedure of shape matching is attained by comparing the histograms. The values of Hu moments of candidate hand region is identified using contour region analysis and compared to run matches and identify the particular sign language alphabet. Experimental analysis supports the efficiency of the proposed methodology on benchmark data.

Customers reviews

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

Frequently Asked Questions about the Book

Is the book original?

All books in our catalog are Original.

In what language is the book written?

The book is written in English.

What is the format of this book?

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