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  • 标题:Indian Sign Language Recognition Using Eigen Value Weighted Euclidean Distance Based Classification Technique
  • 本地全文:下载
  • 作者:Joyeeta Singha ; Karen Das
  • 期刊名称:International Journal of Advanced Computer Science and Applications(IJACSA)
  • 印刷版ISSN:2158-107X
  • 电子版ISSN:2156-5570
  • 出版年度:2013
  • 卷号:4
  • 期号:2
  • DOI:10.14569/IJACSA.2013.040228
  • 出版社:Science and Information Society (SAI)
  • 摘要:Sign Language Recognition is one of the most growing fields of research today. Many new techniques have been developed recently in these fields. Here in this paper, we have proposed a system using Eigen value weighted Euclidean distance as a classification technique for recognition of various Sign Languages of India. The system comprises of four parts: Skin Filtering, Hand Cropping, Feature Extraction and Classification. 24 signs were considered in this paper, each having 10 samples, thus a total of 240 images was considered for which recognition rate obtained was 97%.
  • 关键词:thesai; IJACSA; thesai.org; journal; IJACSA papers; Hand Gesture Recognition; Skin Filtering; Human Computer Interaction; Euclidean Distance (E.D.); Eigen value; Eigen vector.
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