A method and system for image segmentation of reimbursement receipts

Abstract

The invention discloses a reimbursement bill image segmentation method and system, and belongs to the field of computer vision. The method comprises: an original image input step; positioning the positions of the plurality of feature marks on the original image by using a rotating rectangle; determining the direction of the key feature mark according to the text line area or image of the key feature mark; obtaining a boundary rotating rectangle of each bill according to the rotating rectangles marked by the key characteristics and the character directions, and cutting out a single bill image;and carrying out tightening processing on the single bill image to obtain a segmented image. According to the invention, the bill reimbursement process can completely and automatically complete imagecutting, OCR identification, bill summarization and automatic generation of the reimbursement general table by adopting a machine, so that the labor cost is greatly reduced, and the reimbursement efficiency is improved.

Description

technical field [0001] The invention relates to the field of computer vision, in particular to a method and system for cutting reimbursement bill images. Background technique [0002] With the rise of the financial cloud in recent years, various bill reimbursements have begun to go to the cloud. The financial cloud managers the company's various reimbursement bill images, financial data, input and output items, and other information. One of the key steps in migrating bills to the cloud is that the bills need to be digitized, that is, the bills need to be photographed or scanned, and then divided into independent bills, and then the face information of the bills is identified, and finally the image and the recognized face information are stored in the financial database according to the financial logic. cloud. [0003] The cutting and correction of the sticker image is a key link in the financial cloud bill processing step, which determines whether the bill can be recognized...

AI Technical Summary

Problems solved by technology

[0005] 2. The way of pasting tickets is chaotic: the bills are pasted on the backing paper, and each reimbursement person pastes them independently. Each person sticks the tickets according to his own way, and there are gaps on the backing paper Large, some stickers have small gaps, some have few stickers, some have a lot of stickers, and different bills are pasted together irregularly

[0006] 3. Miscellaneous collection methods: some of the image collection of stickers are scanned by scanners, while others are taken by mobile phones

Mobile phone shooting is susceptible to light images, which are prone to perspective deformation, image resolution is not fixed and other factors

[0007] 4. The background of the bill is complex: the background of the bill is complex, and there are many bill backgrounds with the same color as the background paper, resulting in no obvious boundary between the bill and the background in the image, and even the human eye cannot judge the transition between the background and the bill through pixel transition

Images