Prateek Keserwani is a Research Scholar in Dept. of CSE, IITR, advised by Dr. Partha Pratim Roy (IIT Roorkee). He is interested in scene text understanding and exploring how text can be recognized and localized in scene images by using deep learning algorithms. He has completed M.Tech from the University of Allahabad, Allahabad (UP) in 2015. He has also served as a guest faculty in NIT Allahabad (from 2010 to 2012) and University of Allahabad (2015 - one semester).
The text appears on the captured natural images or videos is known as a scene text. The detection and recognition of the scene text is a challenging and important problem to address. It has ample applications such as robot navigation, an assistance system for visually impaired people, etc. The robust system to detect and recognition of scene text provides semantic information of the image/video which becomes helpful for better scene understanding. This is an important problem for the country such as India which have a multilingual society. The automatic reading system such an environment becomes very helpful to society. In our laboratory, we are developing the robust scene text detection system which covers the case of the multi-oriented, multi-lingual and curved text.