An approach to the script discrimination in the Slavic documents

被引：9

作者：

Brodic, Darko ^{[1
]}

Milivojevic, Zoran N. ^{[2
]}

Maluckov, Cedomir A. ^{[1
]}

机构：

[1] Univ Belgrade, Tech Fac Bor, Bor 19210, Serbia

[2] Coll Appl Tech Sci, Nish 18000, Serbia

来源：

SOFT COMPUTING | 2015年 / 19卷 / 09期

关键词：

Coding; Script recognition; Optical character recognition; Statistical analysis; TEXTURE ANALYSIS; IDENTIFICATION; CLASSIFICATION; RECOGNITION; FEATURES;

D O I：

10.1007/s00500-014-1435-1

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The paper deals with the problem of the script discrimination in old Slavic printed documents. Therefore, an algorithm for script classification and identification is proposed. It creates coded text from initial document. Then, the coded text is subjected to statistical analysis. As a result, the texture feature extraction is carried out. Obtained texture features are used as criteria for script classification and identification. The proposed method is tested on the samples of old Slavic printed documents written in Glagolitic, Cyrillic and Latin script.

引用

页码：2655 / 2665

页数：11

共 19 条

[1] Image texture analysis: methods and comparisons [J].