The scene Text Recognition process has become a hot research topic and challenging task owing to the complicated background, varying light intensities, colors, font styles, sizes. extraction from natural images encompasses two main processes: text detection recognition. latest advancements in Machine Learning (ML) Deep (DL) concepts can effectually automate recognition by training model properl...

According to statistics, there are 422 million speakers of the Arabic language. Islam is second-largest religion in world, and its followers constitute approximately 25% world’s population. Since Holy Quran Arabic, nearly all Muslims understand language per some analytical information. Many countries have as their native official well. In recent years, number internet users speaking has been in...

In digital color imaging, it is of interest to transform the color scene of an image to the other. Some attempts have been done in this case using, for example, lαβ color space, principal component analysis and recently histogram rescaling method. In this research, a novel method is proposed based on the Resenfeld and Kak histogram matching algorithm. It is suggested that to transform the color...

In this paper we describe a very simple and efficient method for the détection and recognition of the Malayalam text from colour natural scene images taken by a mobile phone camera. Malayalam text detection, skew correction of the detected text ,text segmentation and character recognition are the important steps in text understanding from natural scene images. Text understanding in natural scen...

The statistics of range images from natural environments is a largely unexplored eld of research. It closely relates to the statistical modeling of the scene geometry in natural environments, and the modeling of optical natural images. We have use d a 3D laser rangender to collect range images from mixed forest scenes. The images are here analyzed with respect to di erent statistics.