Dynamic threshold face alignment setting method based on validity period of ID card

Abstract

The invention relates to a dynamic face comparison threshold setting method based on the validity period of an ID card, which comprises the following steps of: a card-processed time of the ID card isacquired; The threshold of witness-witness comparison is dynamically adjusted according to the time when the card has been issued and the expiration date of the ID card. The witness comparison moduleis also used for comparing the obtained ID card photos with the face photos collected on the spot. If the comparison score is greater than the dynamic threshold, it means the same person, and if the comparison score is less than the dynamic threshold, it means that it is not the same person, and further verification is needed. The dynamic threshold setting method provided by the invention solves the occurrence of alignment failure caused by setting a fixed threshold. Increasing the pass rate of passport matching can improve the efficiency of hotel check-in; Increase guest experience.

Description

technical field [0001] The invention belongs to the technical field of face recognition, and in particular relates to a dynamic face comparison threshold setting method based on the validity period of an ID card. Background technique [0002] The period of validity of the ID card is divided into ten years, twenty years, and long-term; in different validity periods, there is often a big gap between the actual photo and the photo on the ID card, especially the photo at the beginning of the card application and the actual photo at the end of the card application. The difference in photos is even greater. The current comparison of ID cards uses a unified threshold. This method uses a unified and fixed threshold for comparison. Due to the difference between the actual photo and the ID photo on the ID card, the comparison will fail. happens frequently. [0003] With the large-scale advancement and implementation of face recognition in the hotel industry, the probability of failur...

AI Technical Summary

Problems solved by technology

[0006] 1. If there are many people staying in the hotel, it will increase the waiting time of other passengers, increase the workload of hotel staff and cause poor check-in experience for other waiting passengers

[0007] 2. Sometimes there is a large gap between people's photos when they apply for ID cards and on-site photos, and comparisons often fail when compared under a unified threshold;

[0008] 3. When the number of hotel occupants is relatively high, if the comparison fails, the passenger will usually swipe the card for the second or third time, which will increase the waiting time of other hotels to a certain extent; if the comparison fails after many times, it will generally be checked manually , to a certain extent increase the workload of hotel staff

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