An Efficient Vehicle Parking Detection Method Using Gray Scale Images

Face detection in gray scale images using locally linear embeddings

The problem of face detection remains challenging because faces are non-rigid objects that have a high degree of variability with respect to head rotation, illumination, facial expression, occlusion, and aging. This paper employs a novel technique, known as Locally Linear Embedding (LLE), for solving the face detection problem. The LLE method performs dimensionality reduction on data for learni...

An Adaptive Threshold Method for Gray Scale Character Images

Gray-scale document images are binarized in order to perform optical character recognition (OCR). To perform this binarization, a variety of techniques have been proposed for performing threshold selection. Most of these are based on the intensity distribution of the image regions. However, when the spacing between two lines is very small, it is difficult to produce high quality characters usin...

Novel Method for Edge Detection for Gray Scale Images using VC++ Environment

Edge detection is the most common approach for detecting discontinuities in gray scale images. By using edge detection important features can be extracted from an image in the form of edges. The number of researches has found so many techniques to detect edges. It is very important to locate the edges which are true as every operator is sensitive to certain type of edges. It is important to cho...

An Automatic Eye Detection Method for Gray Intensity Facial Images

Eyes are the most salient and stable features in the human face, and hence automatic extraction or detection of eyes is often considered as the most important step in many applications, such as face identification and recognition. This paper presents a method for eye detection of still grayscale images. The method is based on two facts: eye regions exhibit unpredictable local intensity, therefo...

Gray-scale hough transform for thick line detection in gray-scale images