Scanning system for extracting handwritten digits in report

Abstract

The invention discloses a scanning system for extracting handwritten digits in a report. According to the method, one or more groups of numbers in formulated areas in batch paper reports are rapidly extracted in a (handheld or tablet) scanner mode, and the numbers are extracted to an ERP system or an Excel system, so that company system data can be conveniently checked. The scanner is mainly applied to contents such as paper reports, paper sales or purchase orders and the like manually input by enterprises, labor is saved, about 8-15 normal clerks are needed by 1000-person enterprises for example, personnel of a manual input system are reduced by 60-80% after the scanner is used, and a large amount of manpower and material resources are reduced. 2, the extracted numbers can be used for auditing and account checking, basic number checking of basic paper reports is reduced, and manpower and material resources are reduced;

Description

A scanning system for extracting handwritten digits in reports technical field The invention belongs to scanning system technical field, be specially a kind of scanning system about handwritten digit extraction in report form system. Background technique Scanner is a kind of device that captures image, as a kind of computer peripheral product of mechatronics, scanner It is the third largest computer input device after the mouse and keyboard. It can convert images into computers that can display, edit, The digital format for storage and output is a powerful input device. But most of the existing digital extraction technology is two-dimensional code extraction and computer printing extraction, for handwritten data. At present, the recognition rate of word extraction is relatively low, and most of them use the clerk input system, which is inefficient and wastes labor. SUMMARY OF THE INVENTION The object of the present invention is: in order to solve the above-ment...

AI Technical Summary

Problems solved by technology

[0003] However, most of the existing digital extraction technologies are two-dimensional code extraction and computer printing extraction. The current recognition rate for handwritten digit extraction is relatively low, and most of them use clerk input systems, which are inefficient and waste manpower.

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