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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Young-Joon Oh Kwang-Hyun Park Zeungnam Bien |
| Copyright Year | 2007 |
| Description | Author affiliation: Korea Adv. Inst. of Sci. & Technol., Daejeon (Young-Joon Oh; Kwang-Hyun Park; Zeungnam Bien) |
| 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. |
| Starting Page | 148 |
| Ending Page | 151 |
| File Size | 514784 |
| Page Count | 4 |
| File Format | |
| ISBN | 0769530451 |
| DOI | 10.1109/ISITC.2007.62 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-11-23 |
| Publisher Place | South Korea |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Deafness Image recognition Shape Image processing Handicapped aids Natural languages Universal Serial Bus Cameras Skin Colored noise |
| Content Type | Text |
| Resource Type | Article |
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