Research on application of data mining in fast character recognition based on big data

摘要

For improving the speed of character recognition, this paper applies data mining technology tocharacter recognition under the condition of big data architecture.As an effective method of datamining, artificial neural network is a computationalmodel established by simplifying, abstracting,and simulating the biological neural mechanism of human brain. Artificial neural network ensemblemethod, by training several weak learning devices to form the final strong learning device,can better improve the learning generalization ability of themodel, and it has a broad applicationprospect. The main difficulties in the research of license plate recognition are the low quality ofvehicle license plate image, the small proportion of license plate area, the distortion of charactersto be recognized, and the large interference noise. In this paper, wavelet transform, edge detection,and line scanning methods are used to realizemulti-size andmulti-type license plate location,which overcomes the influence of illumination, color, size, and position. In the character recognition module,the improved BP neural network and the neural network integrated classifier basedon weight clipping are used to identify. Experimental results show that the proposed data miningalgorithm can further improve the learning efficiency and improve the performance of the time.