In order to improve the situation of high false positive in eukaryotic promoter recognition, biology knowledge and bioinformatics database information are collected and study. Then a eukaryotic promoter predication method based on principal component analysis, PCA, is presented. 为了改善真核生物启动子识别领域存在的高假阳性的状况,本文首先搜集并学习了相关生物学知识和生物数据库信息;然后,基于主成分分析算法,提出了一种真核启动子识别系统。