Hybrid Technique: Text Detection Using a Neural Network and Boxes
Text Recognition is one of the challenging tasks of computer vision with considerable practical interest. This paper presents a text detector system, named NNBoxes, which detects text with both high accuracy and efficiency and move with the topic forward, NNBoxes is a hybrid technique between the Ne...
Saved in:
Published in | International Journal of Computing and Digital System (Jāmiʻat al-Baḥrayn. Markaz al-Nashr al-ʻIlmī) Vol. 10; no. 1; pp. 201 - 206 |
---|---|
Main Authors | , |
Format | Journal Article |
Language | English |
Published |
University of Bahrain, Deanship of Graduate Studies and Scientific Research
01.01.2021
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | Text Recognition is one of the challenging tasks of computer vision with considerable practical interest. This paper presents a text detector system, named NNBoxes, which detects text with both high accuracy and efficiency and move with the topic forward, NNBoxes is a hybrid technique between the Neural network (Noise reduction and letters prediction) and (Lockbox and hitbox) method created by the Author, both boxes draw grids and lines to recreate the shape of the letters and draw a path between the boxes to support the decision algorithm, in some cases the boxes technique detect text pattern in the image that the language text is not supported in the algorithm Dataset and train data. Keywords: Text detection, Text Recognition, Neural Network (NN), AI. |
---|---|
ISSN: | 2210-142X 2210-142X |
DOI: | 10.12785/ijcds/100120 |