Human Facial Feature Detection Based on Skin Color and Edge Labeling
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Date
2016-10-28
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Abstract
In the recent years facial feature detection and
recognition is an interesting and challenging work in the field of
image processing in which facial region detection is the most
basic step. This paper proposes a framework for detecting the
facial region and facial features from a frontal facial image.
Initially, an RGB facial image is used to detect the facial region.
In the next step, the facial features, i.e. eyebrows, eyes, nose, and
lips regions are detected from the extracted facial region. For
that, the binary information is used to detect the facial region
from the input facial image. After that, the RGB image is
converted into YCbCr based skin color image from where the
edges of the facial features are extracted. In the next step,
labeling operation is performed on the edge image to identify the
location of the facial features region. Various frontal facial
images are utilized to evaluate the proposed framework and
presented outcomes demonstrate the adequacy.
Description
Keywords
facial features, skin color conversion, RGB, YCbCr
Citation
ICISET2016-ID-77