Automated image captioning
Technology advancement has brought about many changes in human interaction. Information can now be easily accessed through the web and data can be stored online. This results in an influx of data stored on the web. Due to development in technologies, automated identification has become a popular sub...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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2017
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| Online Access: | http://hdl.handle.net/10356/71076 |
| _version_ | 1826122145761067008 |
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| author | Teo, Sabrina Jingya |
| author2 | Chan Chok You, John |
| author_facet | Chan Chok You, John Teo, Sabrina Jingya |
| author_sort | Teo, Sabrina Jingya |
| collection | NTU |
| description | Technology advancement has brought about many changes in human interaction. Information can now be easily accessed through the web and data can be stored online. This results in an influx of data stored on the web. Due to development in technologies, automated identification has become a popular subject. It caused any changes in the way human store and process image data. Other than efficient storage and classification of the massive data which is the initial purpose that sparks the interest in the field, automated identification can help the lives of the less fortunate. This project makes use of Tesseract, an optical character recognition engine and text- to-speech system to aim to build a system to assist the visually impaired on their daily interactions and activities especially in accessing printed materials. Texts are the most common form of data input on the computer or mobile phone. With decrease visibility, the visually impaired is restricted to information accessible on electronic devices. This system will improve their access to these information. |
| first_indexed | 2024-10-01T05:43:42Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/71076 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:43:42Z |
| publishDate | 2017 |
| record_format | dspace |
| spelling | ntu-10356/710762023-07-07T16:09:59Z Automated image captioning Teo, Sabrina Jingya Chan Chok You, John Chau Lap Pui School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Technology advancement has brought about many changes in human interaction. Information can now be easily accessed through the web and data can be stored online. This results in an influx of data stored on the web. Due to development in technologies, automated identification has become a popular subject. It caused any changes in the way human store and process image data. Other than efficient storage and classification of the massive data which is the initial purpose that sparks the interest in the field, automated identification can help the lives of the less fortunate. This project makes use of Tesseract, an optical character recognition engine and text- to-speech system to aim to build a system to assist the visually impaired on their daily interactions and activities especially in accessing printed materials. Texts are the most common form of data input on the computer or mobile phone. With decrease visibility, the visually impaired is restricted to information accessible on electronic devices. This system will improve their access to these information. Bachelor of Engineering 2017-05-15T04:05:22Z 2017-05-15T04:05:22Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/71076 en Nanyang Technological University 57 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering Teo, Sabrina Jingya Automated image captioning |
| title | Automated image captioning |
| title_full | Automated image captioning |
| title_fullStr | Automated image captioning |
| title_full_unstemmed | Automated image captioning |
| title_short | Automated image captioning |
| title_sort | automated image captioning |
| topic | DRNTU::Engineering::Electrical and electronic engineering |
| url | http://hdl.handle.net/10356/71076 |
| work_keys_str_mv | AT teosabrinajingya automatedimagecaptioning |