Bücher von Abhijit Nayak

Over the last few years, the use of automated systems and biometrics for security and surveillance applications has increased manifold. Traditional biometric signatures are not non-obtrusive ¿ in the sense that they require the active consent and participation of the subject. This becomes a problem if surveillance and identification has to be carried out in a secret manner. As a low-cost non-obtrusive method for reliable person identification, human gait recognition provides a solution to this problem. This work employs a gait recognition process with binary silhouette-based input images and uses Hidden Markov Model (HMM) for the recognition process. The major objective has been to implement an efficient algorithm for the reliable identification of humans using their gait data. The experimental results provide a preliminary platform for satisfactory gait identification. This book should serve students in areas such as pattern recognition and image processing as an introduction to the promising field of human gait recognition and provides a framework to develop and implement more robust algorithms to be used in the real world.

The book describes the importance of a well known image processing technique called Image Fusion.The application and importance of this technique in area of medical imaging can be easily understood by learning the book. Multi resolution transforms like wavelets is an excellent signal processing tool for image fusion .Study of Various families and generations of wavelet transforms further enhances the levels and efficiency in the technique of image fusion.Two different method are explained in the book and their results are compared with other contemporary methods.