by applying pattern matching algorithm. Optical character recognition has become one of the most successful applications of technology in the field. The NNC consists of three DSP-based optical character recognition system using interval type-2 neural fuzzy system free download The aim of this paper is to solve optical character recognition (OCR) problem using the interval type-2 neural fuzzy system (IT2NFS) with stable learning mechanism and uncertainty. Keywords: segmentation, projection profiles, features extraction, zoning features, projection histogram features, Euclidean Distance classifiers. 1 shows the steps of a typical OCR system. The license plate is fixed on the vehicle and used to identify the vehicle along with honor of that vehicle.
Term Project - Programming Language OCR-Engine - OCR Engine using Tesseract OCR API- documentation. A technique for estimating the class discrimination ability of continuous valued features is presented Abstract In this article, we show that the ideas behind the eigenface technique can be easily extended to the OCR problem by using multiple image classes. In this paper we look at the results of the application of a set of classifiers to datasets obtained through various basic feature A preliminary look at the effects of optical character recognition (OCR) and keying on the quality of industry and occupation coding. The software works with a Intelligent-based optical Chinese character recognition system by using integrated charactersegmentation and text compression techniques free download abstract This paper I) 1esents a liIethO (1 dealing wit ii mixed character segnentation. However, the emergence and prevalence of image-based spam mails has resulted into newer challenges that renders mechanisms for filtering text-based spam mails inefficient A Real Time Automatic License Plate Recognition Using Optical Character Recognition free download Abstract Automatic license plate recognition is used to recognize. The difficulty lies in the complexity of locating the. (2010 Survey of Nearest Neighbor Techniques, ijcsis 8akshmi, C PAtardhan A Multi-font OCR System for printed Telugu Text., Proceeding of LEC02, ieee, 2002 9 Sushama Shelke, Shaila Apte, Multistage Handwritten Marathi Compound Character Recognition Using Neural Networks, Journal of Pattern Recognition Research 2 (2011) 253-2ttp.