The paper presents innovative content based image retrieval (CBIR) techniques based on
feature vectors as fractional coefficients of transformed images using DCT and Walsh …

Iris recognition has been a fast growing, challenging and interesting area in real-time
applications. A large number of iris recognition algorithms have been developed for …

The paper discusses novel image retrieval methods based on shape features extracted
using gradient operators and slope magnitude technique with Block Truncation Coding …

The paper presents novel Walshlet Pyramid based image retrieval techniques. Here content
based image retrieval (CBIR) is done using the image feature set extracted from Walshlets …

Success of image retrieval depends on performance and speed of the retrieval technique
used. Many techniques have already been proposed for content based image retrieval …

Always the thrust for better and faster image retrieval techniques has nourished the research
in content based image retrieval. The paper presents 32 novel image retrieval techniques …

Content-based image retrieval (CBIR) is a technique to retrieve images on the basis of
image specific features such as colour [5, 17, 19], texture [11, 14, 16, 23] and shape [2, 4] …

The new technique for image retrieval using the color-texture features extracted from images
based on vector quantization with Kekre's fast codebook generation is proposed. This gives …

The desire of better and faster retrieval techniques has always fuelled to the research in
content based image retrieval (CBIR). The extended comparison of innovative content …

Face recognition has been a fast growing, challenging and interesting area in real-time
applications of image processing. A large number of face recognition algorithms have been …