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Ticket identification method

A ticket and text recognition technology, applied in character recognition, neural learning methods, character and pattern recognition, etc., can solve problems such as unclear printing, inconsistent form formats, and different image styles

Pending Publication Date: 2021-05-18
NANJING UNIV
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Problems solved by technology

[0006] This disclosure provides a method for ticket recognition, the technical purpose of which is to establish a model that can effectively extract structured information for the problems of different image styles, inconsistent table formats, and unclear printing in tickets

Method used

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Embodiment Construction

[0021]The present disclosure will be described in detail below with reference to the accompanying drawings. In the description of the present disclosure, it is to be understood that the terms "first", "second", "third" are used only for describing purposes, and cannot be understood as indicating or implining relative importance or implicit indicated. The number of technical features is only used to distinguish between different components.

[0022]figure 1 ,figure 2 A flow chart of the method model training process for the one's ticket identification of the present invention, such asfigure 1 withfigure 2 As shown, the model training process includes: S100: Collect data for text rows to detect and text image identification; where the data includes text line images.

[0023]Specifically, data for text line detection and text image identification can be collected, and a large number of disclosed, high-precision labels, including multi-language test sets, and text image identification data ca...

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Abstract

The invention discloses a ticket identification method, relates to the technical field of text detection, text identification and information structured extraction, solves the technical problem that an existing model cannot effectively extract structured information, and is characterized in that a text line position detection model is obtained by training a CTPN network; therefore, the key information in the ticket is positioned, and the method has robustness for tickets in various forms (tables and the like). Data is synthesized through rules of high-frequency words and specific field text contents in the high-frequency words, training data of a text recognition model is expanded, and the accuracy of the recognition model is improved; based on the convolutional neural network, the method has good parallelism, and calculation can be accelerated by using a high-performance GPU (Graphic Processing Unit).

Description

Technical field[0001]The present disclosure relates to the field of text detection, text identification and information structure extraction technology, and more particularly to a method of taking a ticket recognition.Background technique[0002]Ticket recognition refers to techniques for identifying and extracting structured information in different fields of invoices, ID cards, bank cards, etc. in different fields of daily life. Due to the many fields included in the ticket, the format of the ticket is complicated, which has brought many difficulties to identify and structured extraction.[0003]The structure of the film structure identification task can be subdivided into research tasks in multiple fields such as text detection, text identification. The main method of the current text detection is to combine the target detection or segmentation algorithm in deep learning to the text detection task, such as EAST, which uses a semantic division commonly used FCN (Fully Convolutional Ne...

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Application Information

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IPC IPC(8): G06K9/00G06K9/32G06N3/04G06N3/08G06F40/216
CPCG06F40/216G06N3/084G06N3/049G06V30/414G06V20/62G06V30/10G06N3/044G06N3/045
Inventor 路通黄智衡朱立平易欣
Owner NANJING UNIV
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