Handwritten telephone number identification, verification and information sending system

Abstract

The invention provides a handwritten telephone number identification, verification and information sending system, relates to the field of neural network identification, and particularly relates to handwritten telephone number identification used in the express delivery and logistics distribution process. The system comprises an image acquisition device and a system switchboard. The system switchboard is provided with an image identification module, an information verification and management module and a short message sending module which are arranged in the system switchboard and connected in turn. The image acquisition device and the image identification module are wirelessly connected. The handwritten telephone number identification method comprises the steps of 1) mobile phone number digital significance extraction; 2) image segmentation; 3) feature extraction; and 4) neural network identification. The system can be widely applied to the logistics industry, manual input and checking of sending of recipient pickup information are not required, the mobile phone number is automatically verified by a background database information management system through fuzzy identification and the corresponding pickup information is transmitted without artificial intervention so that the working efficiency can be greatly enhanced.

Description

technical field [0001] The invention relates to a handwritten telephone number recognition, verification and information sending system, which relates to the field of neural network recognition, in particular to a handwritten telephone number recognition suitable for use in express delivery and logistics distribution processes. Background technique [0002] At present, in the field of logistics distribution, after the goods go through multiple links such as pick-up, distribution and delivery, and transfer, they finally arrive at the regional business department of the destination. The station is responsible for notifying the picker to pick up the piece at the corresponding destination. Most of the pick-up messages are sent to notify the user to pick up the item through short messages or phone calls. The main contact method is the mobile phone number of the pick-up person, and the written composition mainly includes handwritten and printed characters. [0003] Currently, ther...

AI Technical Summary

Problems solved by technology

[0010] This kind of software is bound to the mobile phone, consumes a lot of power, and cannot continue to work for a long time;

[0011] It is mainly only for printed mobile phone number recognition, and the result after recognition needs to be further verified manually, which greatly reduces the efficiency of express delivery;

[0012] For handwritten mobile phone numbers, the recognition rate is the main bottleneck, and the recognition speed is slow and the power consumption is large;

[0013] 3. The third is to scan the QR code with a proprietary device and retrieve the mobile phone number through the QR code. The main disadvantage of this type of processing method is that it cannot recognize handwritten numbers. Unable to check the correctness, it is a vague blind processing method, and it is easy to send wrong pick-up messages

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