Optical character recognition using active contour segmentation
Other Title(s)
التعرف الصوئي على الحروف و الأرقام باستخدام برنامج الماتلاب
Joint Authors
Munaykhir, Nabil Awdah
Ismail, Mahir Faiq
Abd al-Rida, Istabraq
Source
Issue
Vol. 24, Issue 1 (31 Jan. 2018), pp.146-158, 13 p.
Publisher
University of Baghdad College of Engineering
Publication Date
2018-01-31
Country of Publication
Iraq
No. of Pages
13
Main Subjects
Natural & Life Sciences (Multidisciplinary)
Abstract EN
Document analysis of images snapped by camera is a growing challenge.
These photos are often poor-quality compound images, composed of various objects and text; this makes automatic analysis complicated.
OCR is one of the image processing techniques which is used to perform automatic identification of texts.
Existing image processing techniques need to manage many parameters in order to clearly recognize the text in such pictures.
Segmentation is regarded one of these essential parameters.
This paper discusses the accuracy of segmentation process and its effect over the recognition process.
According to the proposed method, the images were firstly filtered using the wiener filter then the active contour algorithm could be applied in the segmentation process.
The Tesseract OCR Engine was selected in order to evaluate the performance and identification accuracy of the proposed method.
The results showed that a more accurate segmentation process shall lead to a more accurate recognition results.
The rate of recognition accuracy was 0.95 for the proposed algorithm compared with 0.85 for the Tesseract OCR Engine.
American Psychological Association (APA)
Munaykhir, Nabil Awdah& Ismail, Mahir Faiq& Abd al-Rida, Istabraq. 2018. Optical character recognition using active contour segmentation. Journal of Engineering،Vol. 24, no. 1, pp.146-158.
https://search.emarefa.net/detail/BIM-796523
Modern Language Association (MLA)
Munaykhir, Nabil Awdah…[et al.]. Optical character recognition using active contour segmentation. Journal of Engineering Vol. 24, no. 1 (Jan. 2018), pp.146-158.
https://search.emarefa.net/detail/BIM-796523
American Medical Association (AMA)
Munaykhir, Nabil Awdah& Ismail, Mahir Faiq& Abd al-Rida, Istabraq. Optical character recognition using active contour segmentation. Journal of Engineering. 2018. Vol. 24, no. 1, pp.146-158.
https://search.emarefa.net/detail/BIM-796523
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 157-158
Record ID
BIM-796523