Document key area detecting and positioning method using edges and text areas

Abstract

The invention relates to the technical field of mode recognition and computer vision, and in particular relates to a document key area detecting and positioning method using edges and text areas. Thegrayscale image of a document image is acquired by preprocessing the document image, and a document area image is acquired. A maximum stable extremum area algorithm is used to extract candidate areasfrom the document area image, and the candidate areas are filtered. Text areas are retained. The filtered text areas are combined into text blocks. The relative positions of the text blocks are compared. Field contents represented by the text blocks are determined, so that information of all kinds of documents can be effectively extracted. The method has good versatility and practicality, can be widely used for image recognition of different occasions and different carriers, has the advantages of high recognition degree and fast efficiency, and is fast and robust.

Description

technical field [0001] The invention relates to the technical fields of pattern recognition and computer vision, in particular to a method for detecting and locating a key area of ​​a document by using an edge and a text area. Background technique [0002] Nowadays, more and more industries, such as the communication industry, hotels, Internet cafes, etc., need to collect and register ID card information for real-name registration. The traditional ID identification classifier is not only time-consuming, laborious, inefficient, In the process of document collection in the industry, on the basis of collecting the second-generation resident ID card, it is also necessary to collect information on valid documents such as passports, driver's licenses, and driving licenses. Therefore, the simple second-generation ID card reader , has been far from meeting the needs of document collection. In the context of Internet big data, it is the general trend to use modern information technol...

AI Technical Summary

Problems solved by technology

[0002] Nowadays, more and more industries, such as the communication industry, hotels, Internet cafes, etc., need to collect and register ID card information for real-name registration. The traditional ID identification classifier is not only time-consuming, laborious, inefficient, In the process of document collection in the industry, on the basis of collecting the second-generation resident ID card, it is also necessary to collect information on valid documents such as passports, driver's licenses, and driving licenses. Therefore, the simple second-generation ID card reader , has been far from meeting the needs of document collection. In the context of Internet big data, it is the general trend to use modern information technology to carry out efficient and convenient service work. It is also in this context that various document recognition software Came into being

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