The Lister Hill National Center for Biomedical Communications has developed a system that incorporates OCR and automated recognition and reformatting algorithms to extract bibliographic citation data from scanned biomedical journal articles to populate the NLM’s MEDLINE database. The multi-engine OCR server incorporated in the system performs well in general, but fares less well with text print...

Optical character recognition (OCR) is the transformation of an image of handwritten or typed text to raw text. It is used in a range of modern applications that can make a significant impact, so it is important to have robust OCR programs. There are a variety of such programs today, both propriety and open-source. We have implemented a post-processing layer over OCR output from GOCR to reduce ...

BACKGROUND Human primary myotubes are highly glycolytic when cultured in high glucose medium rendering it difficult to study mitochondrial dysfunction. Galactose is known to enhance mitochondrial metabolism and could be an excellent model to study mitochondrial dysfunction in human primary myotubes. The aim of the present study was to 1) characterize the effect of differentiating healthy human ...

Automatic Number Plate Recognition (ANPR) is a special form of Optical Character Recognition (OCR). ANPR is an image processing technology which identifies the vehicle from its number plate automatically by digital pictures. In this paper we have presented an algorithm for vehicle number identification based on Optical Character Recognition (OCR). OCR is used to recognize an optically processed...

OCR has been an active research area since last few decades. OCR performs the recognition of the text in the scanned document image and converts it into editable form. The OCR process can have several stages like preprocessing, segmentation, recognition and post processing. The preprocessing stage is a crucial stage for the success of OCR, which mainly deals with noise removal. In the present p...

This paper describes a work-flow designed to populate a digital library of ancient Greek critical editions with highly accurate OCR scanned text. While the most recently available OCR engines are now able after suitable training to deal with the polytonic Greek fonts used in 19th and 20th century editions, further improvements can also be achieved with postprocessing. In particular, the progres...

PURPOSE To investigate whether habituation occurs in ocular counterrolling (OCR), how stable shifted Listing's plane is, and what effects visual stimulation and alertness exert on the OCR and on Listing's plane. METHODS Two monkeys (Macaca fuscata) were engaged in this experiment. A dual scleral search coil method was used for recording three-dimensional eye movements. Spontaneous eye movemen...

Tesseract OCR Engine is one of the most efficient open source OCR engines currently available. Recently, Tesseract OCR 3.01 is capable of recognizing Hindi language but still it needs some enhancement to improve the performance. The Hindi language recognition accuracy is quite low even for the printed text, as the conjunct character combinations of Hindi Language are not easily separable due to...

Captions in videos contain valuable information for video retrieval. Although texts in captions can be obtained easily in the new image compression formats like MPEG2, there still are many video programs encoded in older formats. Thus, video OCR is indispensable for content-based video retrieval. This paper proposes a simple video OCR method for Chinese captions, including image capturing, capt...