Mobile platform tobacco laser code intelligent identification method and device based on deep learning

Abstract

The invention relates to the field of digital image processing and segmenting and the field of tobacco authenticity detection and provides a mobile platform tobacco laser code intelligent identification method and device based on deep learning. Firstly, a laser code image on the surface of a tobacco carton package is obtained through a terminal camera, and binaryzation is conducted on the image by combining the Otsu method and the local thresholding technology; the laser code image is corrected, so that a laser code character zone is located in a rectangular zone parallel to a screen; the laser code image is segmented into single character images through character segmentation; an established deep convolutional neural network is trained by adopting segmented laser code characters, the trained neural network is transplanted to a mobile platform (based on Android) client, and character identification is conducted on a tobacco laser code by adopting the deep convolutional neural network; tobacco authenticity can be judged in time through comparison with a background tobacco coding rule.

Description

technical field [0001] The present invention relates to the field of digital image processing and segmentation and the field of tobacco authenticity detection, in particular to an image character recognition method and device based on digital morphology-based image processing technology and deep convolutional neural network. Background technique [0002] Tobacco laser code is the ID number of tobacco, and the laser code of each cigarette is unique. Tobacco's laser code consists of a string of 32-digit numbers and English characters. Tobacco laser codes have unified information and standardized coding formats, which facilitate the automation of authenticity verification of tobacco laser codes. [0003] The laser code on the cigarette pack is an important channel for identifying tobacco information, which is of great significance to the management of the tobacco industry. However, in the traditional tobacco industry, the laser code is mainly obtained through manual input, an...

AI Technical Summary

Problems solved by technology

[0017] The technical problem to be solved by the present invention is to realize the intelligent recognition of its content through the tobacco laser code image, and at the same time solve the problem of tobacco laser code character extraction and mobile platform character recognition system development. This system adopts improved image binarization algorithm and Image character segmentation method to solve the problem of effective information acquisition and character segmentation of laser code images under complex background; use deep convolutional neural network to overcome the defect of low recognition accuracy in traditional character recognition algorithms; use mobile Android NDK compilation technology , to solve the development problem of the mobile platform laser code character recognition system

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