A Combined Edge and Connected Component Based Approach for Kannada Text Detection in Images

被引：0

作者：

Siddiqua, Shahzia ^{[1
]}

Naveena, C. ^{[2
]}

Manvi, Sunil Kumar ^{[1
]}

机构：

[1] Reva Univ, Sch Comp & Informat Technol, Bengaluru, India

[2] SJBIT, Dept Comp Sci & Engn, Bengaluru, India

来源：

2017 INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN ELECTRONICS AND COMMUNICATION TECHNOLOGY (ICRAECT) | 2017年

关键词：

Text detection; Kannada text; Edge detection; Feature filtering; Binarization; LOCALIZATION;

D O I：

10.1109/ICRAECT.2017.35

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents an approach for Kannada text detection from scene images. The sturdiness of the system comes from three facets. Firstly, a morphological edge detection method is employed. In this a threshold level is determined resulting in an edged image. Secondly, a text feature filtering method is used which removes maximum non-letter components. Also, the method results in majority of letter components that are within the range of mean height of the residual bounding boxes. Finally, a text region binarization method is applied using a threshold from the residual bounding boxes. The performance of the proposed method was tested on self-captured images having kannada text and the results are satisfactory.

引用

页码：121 / 125

页数：5

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