Visual Analytic-Based Technique for Handwritten Indic Script Identification-A Greedy Heuristic Feature Fusion Framework

被引：1

作者：

Obaidullah, Sk Md ^{[1
]}

Halder, Chayan ^{[2
]}

Das, Nibaran ^{[3
]}

Roy, Kaushik ^{[2
]}

机构：

[1] Aliah Univ, Dept Comp Sci & Engn, Kolkata, W Bengal, India

[2] West Bengal State Univ, Dept Comp Sci, Kolkata, W Bengal, India

[3] Jadavpur Univ, Dept Comp Sci & Engn, Kolkata, W Bengal, India

来源：

PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON FRONTIERS IN INTELLIGENT COMPUTING: THEORY AND APPLICATIONS (FICTA) 2015 | 2016年 / 404卷

关键词：

Handwritten script identification; Visual analytic; Greedy heuristic feature fusion; Structural appearance; Directional morphological features; MLP classifier; DOCUMENTS;

D O I：

10.1007/978-81-322-2695-6_19

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Script identification from multi-script handwritten document images has been a subject of considerable discussion in the literature. In this paper, a novel feature fusion framework (FFF) using structural appearance (SA) and directional morphological filter (DMF) is proposed based on the idea of visual analytic (VA). A dataset of 181 handwritten document pages distributed over 2450 line and 20,260 word images of Bangla, Devanagari, Roman, Oriya, and Urdu scripts is built and considered for experimentation. Experimental result shows a significant improvement of the identification rate by the VA-FFF over the SA and DMF technique if they had been applied individually.

引用

页码：211 / 219

页数：9

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