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 …

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 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 …

The paper presents six innovative content based image retrieval (CBIR) techniques based
on colour averaging. The color averaging methods used here are row mean, column mean …

The present work presents a statistical method to translate human voices across age groups,
based on commonalities in voices of blood relations. The age-translated voices have been …

Because of the rising demand from wide range of applications the need of faster and better
image retrieval techniques is growing day by day. Dimension reduction of CBIR feature …

Amelioration of the colour averaging based image retrieval techniques given in [1], with the
help of Even and Odd image parts is the theme of this paper. The reflection of original image …