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...

Full description

Saved in:
Bibliographic Details
Published inInternational Journal of Computing and Digital System (Jāmiʻat al-Baḥrayn. Markaz al-Nashr al-ʻIlmī) Vol. 10; no. 1; pp. 201 - 206
Main Authors Majeed, Hamsa D, Ibrahim, Reem M
Format Journal Article
LanguageEnglish
Published University of Bahrain, Deanship of Graduate Studies and Scientific Research 01.01.2021
Subjects
Algorithms
Cable television broadcasting industry
Detectors
Machine vision
Neural networks
Noise control
United States
Online AccessGet full text

Cover

More Information
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