Document information processing method and device, electronic equipment and storage medium
An information processing method and document technology, applied in the information field, can solve the problems of cumbersome operation and slow barcode information acquisition rate, and achieve the effect of reducing the acquisition delay and reducing the cumbersome operation of users
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example 1
[0207] This example provides an information processing method. This solution is mainly based on express OCR recognition and extracts all text information on the express delivery form. Among them, the recognition of the courier number adopts both text OCR recognition and barcode recognition, and adopts a cross-check method to ensure high accuracy in this complex scenario.
[0208] At the same time, through face recognition and courier bill recognition, verification is carried out to ensure the correct and efficient collection of courier.
[0209] Recognition of courier number: The courier number used in this scenario is mainly completed in several stages.
[0210] First, try to detect the courier form on the advertising machine (Android side). When the courier form is detected, take a photo and cut out part of the courier form;
[0211] The advertising machine sends part of the picture of the express delivery bill back to the cloud, and the cloud service performs OCR detection...
example 2
[0215] This example provides a method of non-sensing binding between a mobile phone number and a face, which may include:
[0216] Since there is no association between the user's face and mobile phone number at the initial stage of the product, a set of association mechanisms is required. This product adopts a non-inductive binding method. Since there is a great relationship between the user's delivery and his own identity, the user's face and mobile phone number can be gradually enhanced by tracking the user's behavior of receiving the delivery; , user A receives a courier (mobile phone number is A), it is assumed that the relationship is 60%, if next time A receives a courier with mobile phone number A, it can be increased to 90%, if it happens again, it can be considered 99% %, this parameter is a hypothetical parameter, which is actually a predicted value for big data. Then we set a threshold as the threshold of the association relationship (corresponding to the aforemen...
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