Advances in Pattern Recognition and Digital Techniques

Most of the tasks that we do exploit, directly or indirectly, our ability of pattern recognition, not necessarily visual or image patterns.

Consequently, machine recognition of patterns constitutes an integral and essential part of artificially intelligent systems.

The classical models of pattern recognition that work well for simple recognition tasks are not necessarily suited to our contemporary problems having complexities, large scale interactions, and human subjectivity.

New computing models are required for these. Biological inspired modern computing tools like neural networks, fuzzy logic, evolutionary computing etc. and there judicious integration are promising approaches are solving the complex multi-facet real life problems.

This volume reflects the latest development in the field of pattern recognition, digital techniques and related areas.

The topics discussed are Neural Networks, Fuzzy Logic, Genetic Agorithms, Fractals, wavelets including applications in Image Processing, Computer Vision, Speech, Music, Atmospheric Science, Remote Sensing and Medical Image Analysis.