Fast text image detection
Internet offers a broad platform for people to share information and opinions. Illegal or sensitive commentaries in written form are blocked easily by text filters. However, it is difficult to automatically filter out those articles embedded and propagated via images. Among the large number of image...
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
2015
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| Online Access: | https://hdl.handle.net/10356/65349 |
| _version_ | 1811693649930485760 |
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| author | Devadeep Shyam |
| author2 | Kot Chichung, Alex |
| author_facet | Kot Chichung, Alex Devadeep Shyam |
| author_sort | Devadeep Shyam |
| collection | NTU |
| description | Internet offers a broad platform for people to share information and opinions. Illegal or sensitive
commentaries in written form are blocked easily by text filters. However, it is difficult to automatically
filter out those articles embedded and propagated via images. Among the large number of images,
in order to prohibit the dissemination of those commentaries, detecting whether an image contains
a sufficient amount of words provides convenience to the government. In this thesis, we propose a
detection system to determine whether an image contains paragraphs or not. First of all, we propose
a Histogram based method to filter out the images having text paragraphs in horizontal orientation
and then propose a method based on Hough Transformation to detect text paragraphs in arbitrary
orientation from the images without paragraphs. To achieve a better performance and detect text
images with text of arbitrary orientation on images, we propose the detection system by combining
the two proposed methods. To imitate the scenario, we construct a new dataset covering more than
2000 images of with and without paragraphs. Extensive experiments on the dataset demonstrate the
effectiveness and practicability of the proposed detection system. |
| first_indexed | 2024-10-01T06:55:03Z |
| format | Thesis |
| id | ntu-10356/65349 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:55:03Z |
| publishDate | 2015 |
| record_format | dspace |
| spelling | ntu-10356/653492023-07-04T16:25:14Z Fast text image detection Devadeep Shyam Kot Chichung, Alex School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Internet offers a broad platform for people to share information and opinions. Illegal or sensitive commentaries in written form are blocked easily by text filters. However, it is difficult to automatically filter out those articles embedded and propagated via images. Among the large number of images, in order to prohibit the dissemination of those commentaries, detecting whether an image contains a sufficient amount of words provides convenience to the government. In this thesis, we propose a detection system to determine whether an image contains paragraphs or not. First of all, we propose a Histogram based method to filter out the images having text paragraphs in horizontal orientation and then propose a method based on Hough Transformation to detect text paragraphs in arbitrary orientation from the images without paragraphs. To achieve a better performance and detect text images with text of arbitrary orientation on images, we propose the detection system by combining the two proposed methods. To imitate the scenario, we construct a new dataset covering more than 2000 images of with and without paragraphs. Extensive experiments on the dataset demonstrate the effectiveness and practicability of the proposed detection system. MASTER OF ENGINEERING (EEE) 2015-08-06T02:25:09Z 2015-08-06T02:25:09Z 2015 2015 Thesis Devadeep Shyam. (2015). Fast text image detection. Master’s thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/65349 10.32657/10356/65349 en 73 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Devadeep Shyam Fast text image detection |
| title | Fast text image detection |
| title_full | Fast text image detection |
| title_fullStr | Fast text image detection |
| title_full_unstemmed | Fast text image detection |
| title_short | Fast text image detection |
| title_sort | fast text image detection |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision |
| url | https://hdl.handle.net/10356/65349 |
| work_keys_str_mv | AT devadeepshyam fasttextimagedetection |