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

来源：

PATTERN RECOGNITION | 1994年 / 27卷 / 02期

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

页码：311 / 320

页数：10

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