• G.Pushpa latha
• N.Pushpa latha
• I.Suneetha

Optical Character Recognition determines only the characters of equal brightness throughout all sections of an image .Now a days mobile technologies are popular because of built in cameras available in them, images with high clarity can be captured through mobiles and many applications are developed in order to capture the mobile images which consists of characters. The characters captured should have the equal distribution of contrast over all through-out the image, if Aztec or 2D codes are not available. Accurate determining the characters require pre-processing and binarization, if global thresholding is used , it doesn’t provide the required outcome for complicated scenarios. The other method is pixel based adaptive binary thresholding which is very time consuming and doesn’t gives satisfactory results . In order to avoid all the problems mentioned above block processing based thresholding for ocr is proposed in this paper. The concept of segmentation and binary conversion using some predefined thresholding is done.

Area-efficient, Lowpower, CSLA, Binary to excess one converter, Multiplexer

"BLOCK PROCESSING BASED THRESHOLDING FOR OCR PURPOSES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.565-568, May 2019, Available :http://www.jetir.org/papers/JETIRCU06110.pdf

"BLOCK PROCESSING BASED THRESHOLDING FOR OCR PURPOSES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp565-568, May 2019, Available at : http://www.jetir.org/papers/JETIRCU06110.pdf