PROPER NOUN DETECTION IN DOCUMENT IMAGES

被引:7
|
作者
DESILVA, GL [1 ]
HULL, JJ [1 ]
机构
[1] CTR EXCELLENCE DOCUMENT ANAL & RECOGNIT,DEPT COMP SCI,226 BELL HALL,BUFFALO,NY 14260
关键词
PROPER NOUN DETECTION; CHARACTER RECOGNITION; WORD RECOGNITION; FEATURE EXTRACTION; CAPITALIZED WORD DETECTION; NEAREST NEIGHBOR CLASSIFIER;
D O I
10.1016/0031-3203(94)90062-0
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
An algorithm for the detection of proper nouns in document images printed in mixed upper and lower case is presented. Analysis of graphical features of words in a running text is performed to determine words that are likely to be names of specific persons, places, or objects (i.e. proper nouns). This algorithm is a useful addition to contextual post-processing (CPP) or whole word recognition techniques where word images are matched to entries in a dictionary. Due to the difficulty of creating a comprehensive list of proper nouns, a methodology of locating such words prior to recognition will allow for the use of specialized recognition strategies for those words only. Experimental results demonstrate that about 90% of all occurrences of proper nouns were located and over 97% of the unique proper nouns in a document were found using this algorithm.
引用
收藏
页码:311 / 320
页数:10
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