Optical character recognition (OCR) is becoming a powerful tool in the field of Character Recognition, now a days. In the existing globalized environment, OCR can play a vital role in different application fields. Basically, OCR technique converts images into editable format. This technique converts images in the form of documents such as we can edit, modify and store data more safely for longt...

Much previous work has focused on correction of OCR degraded text with little work addressing the possibility of fusing the generated text from different OCR systems, which are assumed to produce different types of errors. This paper explores text fusion, which involves the use of language modeling to determine which OCR system (if any) properly recognized individual words. The technique was ap...

-This review paper deals with a review of the optical character recognition using the Matlab software. OCR or optical character recognition is the process of converting scanned images of machine-printed or handwritten text (numerals, letters, and symbols) into a computer-processable format; also known as optical character recognition (OCR). A typical OCR system contains three logical components...

The ocr protein, the product of gene 0.3 of bacteriophage T7, is a structural mimic of the phosphate backbone of B-form DNA. In total it mimics 22 phosphate groups over approximately 24 bp of DNA. This mimicry allows it to block DNA binding by type I DNA restriction enzymes and to inhibit these enzymes. We have determined that multiple ocr dimers can bind stoichiometrically to the archetypal ty...

This short paper analyses an experiment comparing the efficacy of several Named Entity Recognition (NER) tools at extracting entities directly from the output of an optical character recognition (OCR) workflow. The authors present how they first created a set of test data, consisting of raw and corrected OCR output manually annotated with people, locations, and organizations. They then ran each...

The design of statistical classification systems for Optical Character Recognition (OCR) is a cumbersome task. This paper proposes a method using Evolutionary Strategies (ES) to evolve and upgrade the set of parameters in an OCR system. This OCR is applied to identify the tail number of aircrafts moving on the airport. The proposed approach is discussed and some results are obtained using a ben...

The Medical Article Records System (MARS) developed by the Lister Hill National Center for Biomedical Communications uses scanning, OCR and automated recognition and reformatting algorithms to generate electronic bibliographic citation data from paper biomedical journal articles. The multi-engine OCR server incorporated in MARS performs well in general, but fares less well with text printed in ...

Character recognition techniques associate a symbolic identity with the image of character. Character recognition is commonly referred to as optical character recognition (OCR), as it deals with the recognition of optically processed characters. The modern version of OCR appeared in the middle of the 1940's with the development of the digital computers. OCR machines have been commercially avail...

Objective: To compare humoral and T-cell responses to COVID- 19 vaccines in 400 MS patients who were on Ocrelizumab ('OCR') v. other disease-modifying therapies ('non-OCR') at the time of vaccination. Introduction: Peripheral B-cell depletion with anti-CD20 attenuates vaccines. Whether immune COVID-19 differ between depleted non-B cell is not known. Methods: Consecutive from NYU Care Center inv...

Goal We will specifically tackle the problem of the signboard character recognition. Although OCR has been around for a while and is now commonly used to convert scanned documents [3] and license plate [1] to text, the problem we are tackling here is more interesting. Specifically, the signboard can be of different color, the signboard text can be non-standard, the signboard image can be taken ...