International Journal of Information & Computation Technology. ISSN 0974-2239 Volume 4, Number 17 (2014), pp. 1839-1845 © International Research Publications House http://www. irphouse.com Recognition of Gurmukhi Text from Sign Board Images Captured from Mobile Camera Shilpa Arora 1 , Dharamveer Sharma 2, Silky Arora 3 1 Department of Computer Science, Punjabi University, Patiala (Punjab) 2 Assistant Professor, Department of Computer Science, Punjabi University, Patiala (Punjab) 3 Department of Computer Science, Punjabi University, Patiala (Punjab) 1 arorashilpa69@yahoo.com, 2 dveer72@hotmail.com, 3 arorasilky08@gmail.com Abstract This paper presents recognition of Gurmukhi text from sign board images which are captured through mobile phone camera. The images are binarized and noise free. This consists of three stages. In first step the extracted text is segmented into characters. In second step the features which uniquely classify the characters are extracted using Zoning. In third stage the classifier SVM is used to recognize the text. Keywords: SVM, classifier, recognition, Gurmukhi, images 1. Introduction Automatic text recognition from images receives a growing attention because of potential applications in image retrieval, robotics and intelligent transport system, etc. In addition, extraction and recognition of texts in images is useful to blind and foreigners with language barrier as well. However, developing a robust scheme for extraction and recognition of texts from camera captured image is a great challenge due to several factors which include variations of style, color, spacing, distribution and alignment of texts, background complexity, influence of luminance, and so on. A large number of algorithms have been proposed in the literature to cope with these issues. Work for the development of complete OCR systems for Indian language scripts is major field of research. Research in the field of recognition of Gurmukhi script faces major problem mainly related to the unique characteristics of the script like connectivity of characters on the headline, characters in a word present in both horizontal and vertical directions, two or more characters in a word having intersecting minimum bounding rectangles along horizontal direction, existence of a