• Mr.Anand S Kejkar
• Prof .Vaijanath V. Yerigeri

Text detection method discovers the presence of text in images, videos, etc. This technique is very needful for many applications based on content based image analysis, such as web image search, map analysis, video information retrieval, etc. It is very challenging to detect the text from natural scene images due to its complex background and considerable noise. The objective is to design a text detection system which will be able to detect maximum characters from natural scene images. In this text detection system, first, the input natural scene image is pre-processed. In pre-processing the input color image is first resized and then converted into grey scale image. Then MSER (Maximally Stable Extremal region) regions are extracted from gray scale image. MSER will extract various features from input image and then divide it into number of different regions. Subsequently canny edge detection technique is used to find edges of the characters. The text regions consists some unwanted information and to remove the same we apply canny edge detection filtering technique and use stroke width method to filter the character candidates. Morphological filter is applied to remove noise and unwanted regions detected by MSER. Finally, text candidates corresponding to true texts are constructed and displayed using OCR.

Text detection, Maximally Stable Extremal Regions, Morphological filter, text construction, Multilingual Text.

"MSER APPROACH FOR ACCURATE TEXT DETECTION IN NATURAL SCENE IMAGES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.572-578, January-2019, Available :http://www.jetir.org/papers/JETIR1901573.pdf

"MSER APPROACH FOR ACCURATE TEXT DETECTION IN NATURAL SCENE IMAGES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp572-578, January-2019, Available at : http://www.jetir.org/papers/JETIR1901573.pdf