The difference between traditional pattern recognition and intelligent pattern recognition

different technical principles lead to different processing speeds.

1. The technical principle is different: traditional pattern recognition is based on template matching and feature extraction, while intelligent pattern recognition trains a large number of image samples through deep learning algorithm, so that it has the ability to recognize characters in images independently.

2. Different processing speed: Traditional pattern recognition takes a long time to process a large number of data, while intelligent pattern recognition adopts various optimization methods such as GPU parallel computing, which has obvious speed advantage when processing a large number of images.