[PDF] Top 20 Title: A Brief Review on Optical Character Recognition Techniques

... and character or between diacritics and header line as a result of that little text blocks gets created that ends up in improper text line segmentation and thus ends up in wrong results and ... See full document

... based recognition totally popularity because of extra computation time and had much less ...anticipating techniques are not productive to overcome overfitting still their requirements to enhance the ... See full document

... Optical Character Recognition (OCR) is the transformation of digital document images into editable text ...documents. Optical Character Recognition is a process of detecting and ... See full document

... and recognition has emerged as an important problem in the past few ...and recognition has resulted in this ...and Recognition (ICDAR) are being organized on international level giving further rise ... See full document

... various techniques of cleaning, smoothing, enhancing etc are used to remove ...the optical scanning device or the Writing instrument, causes disconnected line segments, bumps and gaps in lines, filled loops ... See full document

... The major approaches used in the field of handwritten character recognition during the last decade have been reviewed in this paper. Different pre-processing, segmentation, feature extraction, ... See full document

... This technique named moment based features is very effective in describing shape of characters. It was observed that this features can become very effective if some operations such as normalization of size of ... See full document

... words. Character segmentation algorithm use Baseline Pixel Burst Method for remaining character ...each character is written separately), when it comes to cursive language like Urdu than its hard to ... See full document

... text recognition technology to method ...image recognition technology they're able to extract info from forms and place it into databases, so each patient's information is promptly ...text ... See full document

... on recognition of 19th- and early 20th-century newspaper pages concluded that character-by-character OCR accuracy for commercial OCR software varied from 71% to 98%; total accuracy can be achieved ... See full document

... word/script recognition by Almuallim and Yamaguchi [75], El-sheikh and Guindi [76], Hull [77], Aoki and Yamaya [78] Wong and Fallside [79], and Shrihari and Bozinovic [80], separation of connected characters by ... See full document

... The water quality is not only important for drinking water but also for agricultural, industrial, human life and ecosystem. But today, the rate of water pollution is very high. The water pollution occurs due to ... See full document

... General terms: Ant miner algorithm, Optical character recognition OCR, Oriya character pattern matching Keywords: Off-line character recognition,Optcal character recgnition, image enhanc[r] ... See full document

... practical recognition system for handwritten characters without any constraints has a long way to go we have attempted to find a set of writing constraints which significantly improves the ...the ... See full document

... Optical Character Recognition has emerged as a major research area since ...1950. Optical Character Recognition is the mechanical or electronic translation of images of ... See full document

... Character recognition deals with classifying the characters of digitized image into symbolic ...Te character is determined by extracting the shape of he ...neighbor. Recognition of handwritten ... See full document

... An optical character recognition (OCR) application was then used to extract the required information out of the image and saved this into a text ...the brief procedure of the ... See full document

... These character blocks will be further broken down and comparison done by OCR engines incorporating large dictionary of characters consisting of fonts and languages of various ... See full document

... Then, the phase congruency features used in the main binarization step. Phase congruency is used in the machine vision and image processing literature. Phase congruency is a feature detector e.g. palmprint verification, ... See full document

... Face recognition is one of the few biometric methods that possess the merits of both high accuracy and low ...face recognition has drawn the attention of researchers in fields from security, psychology, and ... See full document