License plate number retrieval method based on full-text search engine

Abstract

The invention discloses a license plate number retrieval method based on a full-text search engine. The method comprises the steps that a front-end service system sends a retrieval request to a full-text search engine cluster server; after receiving the retrieval request, the full-text search engine cluster server retrieves the vehicle data meeting the retrieval condition from the database and takes the vehicle data as a result set; the license plate number retrieval plug-in compares the license plate number of each piece of vehicle data in the result set with a target license plate number andscores the matching degree of each piece of vehicle data in the result set, and the license plate number retrieval plug-in sends the result set and the matching degree score of each piece of vehicledata in the result set to the front-end service system; and the front-end service system selects the data of the license plate number with the matching degree score greater than a set threshold in thefinal result set as a retrieval result and displays the retrieval result at the front end.

Description

technical field [0001] The invention relates to the technical field of big data retrieval, in particular to a method for retrieving license plate numbers based on a full-text search engine. Background technique [0002] When a vehicle passes through a checkpoint on the road, the checkpoint camera will take a real-time snapshot to obtain the vehicle data of the vehicle. The vehicle data generally includes: the license plate number of the vehicle, the type of the vehicle, the color of the vehicle, and the vehicle passing through the pass card. The time of the checkpoint, the checkpoint information of the checkpoint that the vehicle passes through. The vehicle data acquired by each checkpoint on each road forms the vehicle big data. For the retrieval of vehicle big data, it can be retrieved based on the license plate number and through a full-text search engine. The existing retrieval methods are generally fuzzy retrieval and precise retrieval. , however, in the actual passing...

AI Technical Summary

Problems solved by technology

The vehicle data acquired by each checkpoint on each road forms the vehicle big data. For the retrieval of vehicle big data, it can be retrieved based on the license plate number and through a full-text search engine. The existing retrieval methods are generally fuzzy retrieval and precise retrieval. , however, in the actual passing data obtained by the checkpoint, there may be errors in the recognition of individual digits of the license plate number. Part of the vehicle data is filtered out. If the vehicle data of a certain vehicle is retrieved by fuzzy retrieval, it cannot reflect the matching degree between the target license plate number and the vehicle data in the database. When the vehicle data of the vehicle is displayed as a correct search result

[0003] To sum up, the retrieval methods in the prior art cannot be well applied to the retrieval of vehicle big data based on the license plate number

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