Over the last decade footprint feature extraction has been actively researched for footprint recognition. This paper provides an up-to-date review of major human footprint recognition research. In Earlier sections, we have presented an overview of footprint recognition and its applications. In later sections, literature review of the most recent footprint recognition technique is presented. The...

In this paper, we proposed Isochron~a tic Infornlation. which is a metllod of strl~ctllral description of color images. Isochronlatic Inforn~ation is ~lsrfill to extract line featllres wllich are color edgrs and so on. And, s11rfiic.e fea tllres which are regions and so on. too. First. we sta te Isochroma tic Inforn~ation ant1 a r~lcthotl of i t s estraction. Nest, a method of line fcatllre ext...

In this Paper we have used moment based Statistical methods for Feature extraction like Zernike, Pseudo-Zernike methods. Handwritten Gurmukhi isolated characters are used for feature extraction. Our database consists of 75-115 samples of each of 40 characters of Gurmukhi script collected from different writers. These samples are preprocessed, normalized and scaled to 48*48 sizes. Feature extrac...

Multiple sclerosis (MS) is a chronic demyelinating autoimmune disease affecting the central nervous system. One of its manifestations concerns impaired speech, also known as dysarthria. In many cases, a proper speech evaluation can play an important role in the diagnosis of MS. The identification of abnormal voice patterns can provide valid support for a physician in the diagnosing and monitori...