High Precision Fingernail Detection using Color Continuity in Skin Area

Abstract

Previous fingernail detection method was not good at removing some skin areas which have nail-color and gloss. We found that color continuity in skin area can be used for removing these areas. In this paper, therefore, we propose new fingernail detection method using distribution density of strong nail-color pixels and color continuity. We investigated relations between wrist rotation angles and percentage of correct detection. The number of users was three. As a results, we confirmed that our propose method could detect only fingernails at least 85% from ±40 to ±90 and raise accuracy compared with previous method.