Face detection in color images

Abstract

Human face detection is often the first step in applications such as video surveillance, human computer interface, face recognition, and image database management. We propose a face detection algorithm for color images in the presence of varying lighting conditions as well as complex backgrounds. Our method detects skin regions over the entire image, and then generates face candidates based on the spatial arrangement of these skin patches. The algorithm constructs eye, mouth, and boundary maps for verifying each face candidate. Experimental results demonstrate successful detection over a wide variety of facial variations in color, position, scale, rotation, pose, and expression from several photo collections.

Text information extraction in images and video: a survey

“…A number of studies on the use of relatively low-level perceptual content [2][3][4][5][6] for image and video indexing have already been reported. Studies on semantic image content in the form of text, face, vehicle, and human action have also attracted some recent interest [7][8][9][10][11][12][13][14][15][16]. Among them, text within an image is of particular interest as (i) it is very useful for describing the contents of an image; (ii) it can be easily extracted compared to other semantic contents, and (iii) it enables applications such as keyword-based image search, automatic video logging, and text-based image indexing.…”

Rule Based Segmentation and Subject Identification Using Fiducial Features and Subspace Projection Methods

“…It then projects the probe (testing) images into the same sub-space and distance between all pairs of projected gallery (training) and probe images are computed. Both subspace algorithms discussed above were tested using the Euclidean and Cosine distance metrics as provided below C. 1…”

“…There exist various methods for the detection of facial features and a detailed literature survey about these techniques is available in [1]- [6]. One of the very first operations that is needed for facial feature detection is the face localization.…”

A study of skin color detection using a merging technique

“…The relevant literature (Hsu, Mohamed, and Jain 2002;Phung, Bouzerdoum, and Chai 2005;Tan et al 2012) shows that results of binary image processing in facial recognition and skin color are good, although there are often problems, such as too much background noise, low definition contour, or undistinguishable facial expressions. Therefore, this paper proposes a merging technique for image processing.…”