カラー画像による指文字認識に関する基礎検討 : 視聴覚,画像処理・コンピュータビジョン・マルチメディアおよび一般 : 視聴覚技術 : 画像処理・コンピュータビジョン

概要

論文の詳細を見る
In the present paper, we propose a method to recognize Japanese finger spelling. Hand region Images are automatically cut off the RGB color image(512×512[pixels]) in order to apply this method to recognition of general sign language expressed by the upper half of a body in the future. Our proposing method extracts region of stretched fingers from images by erosion-diloation method, and from these regions extract fundamental features such as finger vector. And also the method detects the status of contacted and stretched fingers through extracting boundary between fingers using gradient vector, gradient intensity, and use them as features. Based on these features, we have constructed a decision tree and tried to recognize finger spellings.
社団法人映像情報メディア学会の論文
1993-10-18