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DC Field | Value | Language |
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dc.contributor.advisor | Baes, Gregorio B. | - |
dc.contributor.author | Custodio, Anter Aaron | - |
dc.date.accessioned | 2016-08-11T10:51:41Z | - |
dc.date.available | 2016-08-11T10:51:41Z | - |
dc.date.issued | 2016-06 | - |
dc.identifier.uri | http://dspace.cas.upm.edu.ph:8080/jspui/handle/123456789/435 | - |
dc.description.abstract | Tes2Speech is an Android mobile application for recognizing handwritten texts and optionally convert it to speech. By training Google’s Tesseract, which is a free open-source Optical Character Recognition (OCR) Engine, to recognize hand- written texts, I created an alternative for Intelligent Character Recognition (ICR) Engine that are proprietary and expensive. OCR Engines’ main purpose is to con- vert scanned documents with computer printed texts into an editable and machine encoded text. But by improving an OCR into ICR to recognize handwritten texts and integrating it into a mobile application in this day and age, it greatly improves its usability. It can help speech-impaired people to communicate, help children to recognize the proper pronunciation of words they write, etc. Thus, creating a free and non-proprietary handwriting-to-speech application that is accessible for everyone, and will be very useful for those who are looking for a free, portable, and reliable alternative to ICR, OCR, and other related expensive communication devices. Tes2Speech includes a user-friendly Tesseract trainer desktop application in order for the user to personalize Tess2Speech for their own handwritings. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | Android | en_US |
dc.subject | training | en_US |
dc.subject | handwritten texts | en_US |
dc.subject | Tesseract | en_US |
dc.subject | optical character recognition | en_US |
dc.subject | computer printed texts | en_US |
dc.subject | intelligent character recognition | en_US |
dc.subject | free and non-proprietary | en_US |
dc.subject | speech-impaired | en_US |
dc.title | Tess2Speech: An Intelligent Character Recognition-To-Speech Application for Android Using Google's Tesseract Optical Character Recognition Engine | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | Computer Science SP |
Files in This Item:
File | Description | Size | Format | |
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Tess2Speech.pdf | 10.16 MB | Adobe PDF | View/Open |
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