Paper currency number recognition based on binary tree and Adaboost algorithm

Abstract

A fast weak classifier training algorithm and a fast caching strategy were used to accelerate Adaboost training.Integrated learning algorithm Adaboost can accurately construct two classifiers,so paper currency number recognition was formulated as a series of Adaboost two-class classification problems quickly and flexibly by using binary tree structure.The experimental results demonstrate that the fast Adaboost training algorithm can speed up the training and the paper currency number recognition system based on binary tree and Adaboost algorithm has good recognition rate and processing speed,and it has widely been used in currency counter,cash sorter and ATM.