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Business card recognition method and device

A business card recognition and business card technology, applied in the field of machine learning, can solve the problem of low accuracy of business card recognition

Active Publication Date: 2021-09-10
BEIJING UNIV OF POSTS & TELECOMM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention proposes a business card recognition method and device to improve the versatility and recognition effect of the business card recognition method, and to solve the technical problem of low accuracy of business card recognition in the prior art

Method used

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  • Business card recognition method and device
  • Business card recognition method and device

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Embodiment Construction

[0021] Embodiments of the present invention are described in detail below, and examples of the embodiments are shown in the drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0022] With the popularity of electronic business cards and electronic devices, it has become a common phenomenon to use electronic devices to record business card information. However, it takes a lot of time and energy to enter paper business cards into electronic business cards, so it is of great significance to automate this process.

[0023] At present, there are mainly three business card recognition methods as follows:

[0024] The first one is to rely on a limited recognition device to obtain the image of the p...

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Abstract

The present invention proposes a business card recognition method and device, wherein the method includes: acquiring a business card image to be recognized; inputting the business card image into a text detection model to obtain each text line area; wherein, the text detection model has learned image features The corresponding relationship with each text line area; each text line area is input into the character recognition model to obtain the business card information corresponding to each text line area. This method can implement a text detection model based on deep learning to identify each text line area in the business card image, which is robust and can reduce the impact of low-quality and noise data on text extraction, thereby improving the versatility and performance of the method. application space. In addition, the text recognition model based on deep learning performs end-to-end recognition of each text line area without the need for word segmentation, which has a higher accuracy rate, and also has a stronger recognition ability for various complex changes. The generality and recognition effect of the method.

Description

technical field [0001] The invention relates to the technical field of machine learning, in particular to a business card recognition method and device. Background technique [0002] With the popularization and development of personal computers (PC for short) and mobile terminals, it has gradually become the mainstream to store and retrieve paper business cards using electronic information. However, it takes a lot of manpower and material resources to convert paper business cards into electronic business cards. Therefore, it is very important to complete this process automatically. [0003] After long-term exploration and research by different scholars, there have been many application examples of business card recognition methods. However, the traditional business card recognition method is limited by the optical character recognition (Optical Character Recognition, OCR) technology used, and the business card image quality is relatively low. Low, for example, in the case o...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/20G06K9/34
CPCG06V10/22G06V30/153G06V10/267
Inventor 欧中洪熊柏桥肖芬瑞宋美娜宋俊德
Owner BEIJING UNIV OF POSTS & TELECOMM
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