Method for identifying train ticket by using deep learning technology

A deep learning, train ticket technology, applied in neural learning methods, character and pattern recognition, instruments, etc., can solve problems such as time-consuming, achieve the effect of improving service level, avoiding fake tickets, and improving passenger flow throughput

Pending Publication Date: 2019-08-16
JINAN INSPUR HIGH TECH TECH DEV CO LTD
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The first two algorithms use Selective research, a time-consuming process that affects network performance, to find region proposals

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  • Method for identifying train ticket by using deep learning technology

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Embodiment 1

[0034] This embodiment proposes a method for identifying train tickets using deep learning technology, combined with the attached figure 1 , the implementation process of this method includes:

[0035] S1, collecting images with real train tickets;

[0036] S2. Using the format of the VOC data set as a standard, mark all the train tickets in the image collected in the S1 stage and generate an XML file;

[0037] S3. Using computer vision technology, preprocessing and data augmentation are performed on the images collected in the S1 stage, and at the same time, corresponding transformations are made to the marked files;

[0038] S4. Divide all the images marked in the S2 stage into a training set, a verification set, and a test set;

[0039] S5, based on the Keras open source framework, with Faster-RCNN as the technical core, build a deep learning neural network;

[0040] S6. Send the augmented data obtained in the S3 stage to the deep learning neural network built in the S5 ...

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Abstract

The invention discloses a method for identifying a train ticket by using a deep learning technology, which relates to the technical field of image detection and comprises the following steps of: acquiring an image with a real train ticket; marking all train tickets in the collected image and generating an XML file, and dividing all the images into a training set, a verification set and a test set;carrying out pre-processing and data augmentation on the acquired image by utilizing a computer vision technology; based on a Keras open source framework, taking Faster-RCNN as a technical core to build a deep learning neural network; and sending the augmented data into a deep learning neural network to carry out large-scale training until an output result of the deep learning neural network andthe labeled data have a relatively high matching degree, and outputting and deploying the deep learning neural network as an optimal network model at a station ticket checking port position. Accordingto the invention, automatic identification of the train ticket can be realized without manual ticket checking.

Description

technical field [0001] The invention relates to the technical field of computer image detection, in particular to a method for identifying train tickets using deep learning technology. Background technique [0002] The 21st century is the "information century". The degree of informatization of industry and social life directly determines the comprehensive national strength of a country. Therefore, since my country entered the new century, informatization construction has always been one of the government's priorities. Among them, with the development of my country's transportation construction, the ticket inspection of transportation hubs urgently needs information management to support the growing business demand, and the inefficient human ticket inspection method has been stretched. [0003] At present, with the development of computer image detection technology, image detection has also begun to be applied to the field of ticket inspection. Traditional target detection ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06N3/04G06N3/08
CPCG06N3/08G06V20/20G06N3/045
Inventor 孙宁远王天卿李锐
Owner JINAN INSPUR HIGH TECH TECH DEV CO LTD
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