Noval approach of classification based Indian sign language recognition using transform features

Autor:	Sudeep D. Thepade, Pritam H. Patil, Nalini Yadav
Rok vydání:	2015
Předmět:	Novel technique Computer science Indian sign language business.industry Speech recognition Sign language computer.software_genre Discrete cosine transform Artificial intelligence business computer Natural language processing Sign (mathematics) Meaning (linguistics)
Zdroj:	2015 International Conference on Information Processing (ICIP).
DOI:	10.1109/infop.2015.7489352
Popis:	Sign language is most important tool of communication for dumb and deaf people. Sign language is a widely used and accepted standard for communication by people with hearing and speaking impairments. A sign language is a language which uses visually transmitted sign patterns, instead of acoustically conveyed sound patterns, to deliver the meaning. In this research paper a novel technique for Indian sign language recognition is proposed. Technique focuses on transformed content of sign language images. Important goal of proposed classification based recognition technique is faster retrieval with higher accuracy.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f2f6e73af3c1ddeea5b14dcac897909a https://doi.org/10.1109/infop.2015.7489352 Zobrazit plný text záznamu