Title :
Korean Manual Alphabet (KMA) Recognition System Using USB Camera
Author :
Oh, Young-Joon ; Park, Kwang-Hyun ; Bien, Zeungnam
Author_Institution :
Korea Adv. Inst. of Sci. & Technol., Daejeon
Abstract :
Sign language is complex visual-spatial language most used in deaf society, and is a representative example of hand gesture with linguistic structure. Korean manual alphabet is a manual alphabet that augments the vowel and consonant of Korean sign language. This paper presents a system which recognizes the Korean manual alphabet (KMA) using a USB camera and translates into a normal Korean character. The system captures images from a camera and extracts skin color regions from an image, and finds a hand region. The system detects a hand without particular cloth in a complex background. We use 14 KMA hand shape as template images, and the system compares hand shape with template images using a correlation coefficient method.
Keywords :
cameras; character recognition; correlation methods; feature extraction; image colour analysis; image recognition; natural languages; Korean manual alphabet recognition system; USB camera; complex visual-spatial language; correlation coefficient method; deaf society; feature extraction; hand gesture; image color analysis; linguistic structure; sign language; Cameras; Colored noise; Deafness; Handicapped aids; Image processing; Image recognition; Natural languages; Shape; Skin; Universal Serial Bus;
Conference_Titel :
Information Technology Convergence, 2007. ISITC 2007. International Symposium on
Conference_Location :
Joenju
Print_ISBN :
0-7695-3045-1
Electronic_ISBN :
978-0-7695-3045-1
DOI :
10.1109/ISITC.2007.62
