A Computer Vision Method for the Italian Finger Spelling Recognition

  • Vitoantonio Bevilacqua
  • Luigi Biasi
  • Antonio Pepe
  • Giuseppe Mastronardi
  • Nicholas Caporusso
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9227)

Abstract

Sign Language Recognition opens to a wide research field with the aim of solving problems for the integration of deaf people in society. The goal of this research is to reduce the communication gap between hearing impaired users and other subjects, building an educational system for hearing impaired children. This project uses computer vision and machine learning algorithms to reach this objective. In this paper we analyze the image processing techniques for detecting hand gestures in video and we compare two approaches based on machine learning to achieve gesture recognition.

Keywords

Image processing Computer vision Machine learning SVM MLP Gaussian Mixture Model Sign language LIS 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Vitoantonio Bevilacqua
    • 1
  • Luigi Biasi
    • 1
  • Antonio Pepe
    • 1
  • Giuseppe Mastronardi
    • 1
  • Nicholas Caporusso
    • 2
  1. 1.Dipartimento di Ingegneria Elettrica e dell’InformazionePolitecnico di BariBariItaly
  2. 2.INTACT healthcareBariItaly

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