Kurdish Text Segmentation using Projection-Based Approaches

Tofiq Ahmed Tofiq; Jamal Ali Hussein

Article Details

Kurdish Text Segmentation using Projection-Based Approaches

Authors:

Tofiq Ahmed Tofiq | Jamal Ali Hussein

Publisher:

University of Human Development

Journal:

UHD Journal of Science and Technology Vol.5 Issue 1, pp.56-65

Document Type:

Article

Publication Date:

5/2021

Document Language:

English

Document ID (Org No.):

2001934288

pISSN:

2521-4217

Keywords:

Abstract:

 An optical character recognition (OCR) system may be the solution to data entry problems for saving the printed document as a soft copy of them. Therefore, OCR systems are being developed for all languages, and Kurdish is no exception. Kurdish is one of the languages that present special challenges to OCR. The main challenge of Kurdish is that it is mostly cursive. Therefore, a segmentation process must be able to specify the beginning and end of the characters. This step is important for character recognition. This paper presents an algorithm for Kurdish character segmentation. The proposed algorithm uses the projection-based approach concepts to separate lines, words, and characters. The algorithm works through the vertical projection of a word and then identifies the splitting areas of the word characters. Then, a post-processing stage is used to handle the over-segmentation problems that occur in the initial segmentation stage. The proposed method is tested using a data set consisting of images of texts that vary in font size, type, and style of more than 63,000 characters. The experiments show that the proposed algorithm can segment Kurdish words with an average accuracy of 98.6%.

Article Details

Kurdish Text Segmentation using Projection-Based Approaches

Authors:

Tofiq Ahmed Tofiq | Jamal Ali Hussein

Publisher:

University of Human Development

Journal:

UHD Journal of Science and Technology Vol.5 Issue 1, pp.56-65

Document Type:

Article

Publication Date:

5/2021

Document Language:

English

Document ID (Org No.):

2001934288

pISSN:

2521-4217

Optical character recognition

Character segmentation

Kurdish text segmentation

Projection-based approach

Cursive writing optical character recognition

Issues

Article Details

Kurdish Text Segmentation using Projection-Based Approaches

Authors: Tofiq Ahmed Tofiq | Jamal Ali Hussein

Publisher: University of Human Development

Journal: UHD Journal of Science and Technology Vol.5 Issue 1, pp.56-65

Document Type: Article

Publication Date: 5/2021

Document Language: English

Document ID (Org No.): 2001934288

pISSN: 2521-4217

Optical character recognition

Character segmentation

Kurdish text segmentation

Projection-based approach

Cursive writing optical character recognition

Issues

Authors:

Tofiq Ahmed Tofiq | Jamal Ali Hussein

Publisher:

University of Human Development

Journal:

UHD Journal of Science and Technology Vol.5 Issue 1, pp.56-65

Document Type:

Article

Publication Date:

5/2021

Document Language:

English

Document ID (Org No.):

2001934288

pISSN:

2521-4217