[PDF] Top 20 Optical Character Recognition Techniques: A survey

... handwriting recognition on natural language text, the use of a word-level language model (LM) is known to significantly improve recognition ...handwriting recognition task, Devlin et ... See full document

... M. Kamble et al. has used the bounding box for this process [20]. One another method is projected by J. Pradeep et al. [22] for segmentation. In this system, the isolation of characters is done by allocating a number to ... See full document

... Character recognition isn't a brand-new downside however its roots are often derived back to systems before the inventions of computers. The earliest OCR systems weren't computers however mechanical devices ... See full document

... Morphological thinning: Thinning is morphological image processing operation which reduces the binary valued image areas to lines that are close to the center skeletons of the areas. Generally, for each single image ... See full document

... correlation techniques are different from the others in that no features are actually ...input character is directly matched with a set of prototype characters representing each possible ... See full document

... Segmentation techniques FMRF detects correct tissue with better ...for Recognition of Handwritten Marathi Numerals [3]: This paper proposes the use of CCNN which has the ability to learn features ... 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

... The Optical Character Recognition is a growing field of artificial intelligence ...New Techniques of Character recognition have widely evolved during the last two ...the ... See full document

... tracking techniques difficult to perform and also the size of the dual clinical monitors makes existing eye tracking techniques generally ...and optical character recognition ... See full document

... plate recognition technologies for their security purpose and for expanding the collection of relevant ...of optical character recognition,then the number plate will be compared with ... See full document

... Veena Bansal and R.M.K Sinha [12] presented a complete OCR for printed Hindi text written in Devanagari script. The system used following features: Coverage of the region of the core strip, Vertical bar feature, ... See full document

... a survey of feature extraction and classification techniques for optical character recognition of general ...single character or set of characters to document ...in ... 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

... data recognition systems are very ...and techniques to deal with the recognition of unconstrained and connected characters, practical OCR systems suffer from a lack of such ...advanced ... 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

... of techniques are used for statistical feature extraction; some of them are: zoning, projection histograms, crossings and distances, and ...Its character repair capability is great for low quality text and ... See full document

... nature, character of a specific writer[16] Recognition and interpretation may be used in daily life, example being a pharmacist decodes the medicine written on a ...The techniques are primarily used ... See full document

... Neural networks have been employed for character recognition with varying degree of success. These networks are also employed for integrating the results of the classifiers by adjusting weights to obtain ... See full document

... the character recognition process thousands of times every day as they read papers and ...an optical character recognition system with the same reading capabilities as humans still ... See full document

... 9) Dholakia [8] attempted to use wavelet features, GRNN classifier and KNN classifier on the printed Gujarati text of font sizes 11 to 15 with styles regular, bold and italic by finding the confusing sets of the ... See full document