Sentence examples for ocr application from inspiring English sources

We focus on two attributes of QoI for the OCR application: accuracy and timeliness.

Section 3.2.4 shows the OCR application by the proposed procedure.

Barcodes should be affixed to sheets prior to recording an image, which might be during pre-digitization curation or in an early step within the imaging workflow, and should be unobstructed and clearly visible in the resulting image to ensure they can be easily and accurately scanned from the image by a barcode reader or read by an optical character recognition (OCR) application.

OCR finds applications in a wide range of problem areas including printed (religious, poetry and literature books, newspapers, passports, utility bills), handwritten (office records, historical manuscripts, input to mobile devices) and mixed (traffic challans, bank checks, driving licenses, hand-filled forms) documents.

Non-mitochondrial OCR was determined by OCR after rotenone injection minus OCR of wells without cell.

We use optical character recognition (OCR) as a model image processing application.

Non-mitochondrial respiration was subtracted from all OCR values prior to analysis: spare respiratory capacity = maximal OCR − basal OCR; ATP coupling efficiency = (basal OCR − oligomycin-inhibited OCR)/(basal OCR × 100).

Rather than being directly used for application development, the main purpose of OCR is to become a low-level runtime for higher-level programming models and tools.

Participants will be introduced to these features, be shown how to setup databases, and also introduced to DEVONthink's various tools (ex. automatic OCR) and scripts that allow interaction between various applications in a workflow and the automation of tasks.

We have also implemented two benchmark applications and performed experiments to investigate the viability of the OCR as a runtime for manycores.

We evaluate these features for different applications from four different perspectives to understand handwritten documents beyond OCR (optical character reognition), by writer identification, script recognition, historical manuscript dating and localization.