We propose a new method for hand gesture recognition via sparse representation. Initially, we present the region of the hand is detected based on skin color segmentation in the YCbCr color space and image normalization. Then, the recognition of hand posture is casted as the sparse representation of a test image with a set of the database images. The l1minimization is applied to accurately and e...

The colors of the human skin represent a special category of colors, because they are distinctive from the colors of other natural objects. This category is found as a cluster in color spaces, and the skin color variations between people are mostly due to differences in the intensity. Besides, the face detection based on skin color detection is a faster method as compared to other techniques. I...

Color vector quantization (VQ) has been an efficient still image compression scheme as well as a popular bihnap graphics format for display devices with limited color capability. In this paper we are proposing a color vector quantization-based video coder, exploiting the temporal stationaty nature of color distribution among a group of pictures (GOP) over a short period. Color VQ is applied fir...

Blood is the main component of human body. Blood is composed of Red Blood Cells, White Blood Cells, Platelets and other artifacts. Blood is considered as the main source of identifying various diseases like Malaria, Anemia, and Leukemia etc. In these diseases the main region of interests are the blood cells. The main focus in these diseases is to carefully check the blood cells because these ce...

Image enhancement can improve the perception of information for human viewers, which is also a basic and pretty significant role in image processing. However, there also exist some limitations in most image enhancement algorithms. In this paper discuss the limitations of existing techniques of image enhancement. In order to solve the limitations well, a novel sparse code fusion (SCF) method is ...

In this report, survey on human face detection in color images and an implementation of automatic faces detection based on skin color and face features are presented. The color information in YCbCr color space is combined with the multiple features such as eyes and mouth, to detect faces in arbitrary color images. This implementation consists of four parts: a human skin segmentation to identify...

Biometric Authentication works on some human characteristics, such as, finger print, voice, pattern of lines in the iris of eye or face. I represent a multiple face detection method based on skin color information and the Lines of Separability (LS) face model and recognition method based on principle component analysis and neural network. Face detection method uses YCbCr color model and sigma c...