关键词: 手写数字识别, 手写液晶体数字, 计算机阅卷系统, 贝叶斯分类器

Abstract:

Recognition of handwritten numerals is an important research direction in pattern recognition. Usual handwritten numbers vary seriously in writing style, and it is difficult to recognize them with a high precision. Therefore, a novel method to record handwritten numerals, called handwritten transistor numerals, is proposed. Then, a specialized recognition algorithm is developed. Firstly, image features are extracted by using a set of sampling windows, which are compared with the standard feature vectors of various number categories for computing similarity values. Then, based on Bayesian inference, the classification is completed according to the principle of maximum posterior probability. Finally, a database of handwritten transistor numerals is constructed and simulation experiments are conducted for evaluation. Experimental results show that the new algorithm has a high recognition rate and a fast recognition speed.

Key words: handwritten numeral recognition, handwritten transistor numerals, computer marking system, Bayesian classifier