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(lèi)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(dòng)分類(lèi)就是指在給定類(lèi)別體系下的文本自動(dòng)歸類(lèi)。
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(lèi)別體系可分為有監(jiān)督( supervised )的自動(dòng)歸類(lèi)和無(wú)監(jiān)督( unsupervised )的自動(dòng)聚類(lèi)。
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(shí)別知識(shí)對(duì)人臉表情進(jìn)行自動(dòng)分類(lèi),實(shí)現(xiàn)了一個(gè)人臉表情自動(dòng)分析系統(tǒng)。