Using layout information in image to improve automated classification for text in business cards 利用名片文本圖像版面信息的輔助分類方法
The problem investigated in this thesis is that the text automated classification with the known class system 本文所研究的文本自動分類就是指在給定類別體系下的文本自動歸類。
In view of whether it has the stationary class system . it can be divided into supervised automated classification and unsupervised automated clustering 根據(jù)是否有固定的類別體系可分為有監(jiān)督( supervised )的自動歸類和無監(jiān)督( unsupervised )的自動聚類。
By three steps mentioned above , the automated classification of facial expression is realized . in this paper , an automatically facial expression analysis system is constructed based on the image processing and pattern recognition 本論文的研究主要利用了圖像處理方法和模式識別知識對人臉表情進(jìn)行自動分類,實現(xiàn)了一個人臉表情自動分析系統(tǒng)。