Text extraction from scene images is a defy subject in light of low resolution, complex background and textual style/text size varieties. In this paper, we design a scheme to detect text based on shape features like Euler Number, a number of pixels for each region which candidate to be a character and vertical distances as a geometric feature between these regions. We divide these features into base features to collect the text regions, and the other features as a filter to discard the non-text regions. We use some threshold with the features either those to extract text regions or to discard non-text regions. The proposed method outperforms some existed method through the basis metric.
ملخص البحث
قسم البحث
مجلة البحث
International Journal of Computer Applications
المشارك في البحث
الناشر
NULL
تصنيف البحث
1
عدد البحث
Vol. 169, No. 3
موقع البحث
https://www.ijcaonline.org/archives/volume169/number3/27967-2017914631
سنة البحث
2017
صفحات البحث
0975 – 8887