Please use this identifier to cite or link to this item: http://dspace.cas.upm.edu.ph:8080/jspui/handle/123456789/435
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dc.contributor.advisorBaes, Gregorio-
dc.contributor.authorCustodio, Anter Aaron-
dc.date.accessioned2016-08-11T10:51:41Z-
dc.date.available2016-08-11T10:51:41Z-
dc.date.issued2016-06-
dc.identifier.urihttp://dspace.cas.upm.edu.ph:8080/jspui/handle/123456789/435-
dc.description.abstractTes2Speech 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.isoen_USen_US
dc.subjectAndroiden_US
dc.subjecttrainingen_US
dc.subjecthandwritten textsen_US
dc.subjectTesseracten_US
dc.subjectoptical character recognitionen_US
dc.subjectcomputer printed textsen_US
dc.subjectintelligent character recognitionen_US
dc.subjectfree and non-proprietaryen_US
dc.subjectspeech-impaireden_US
dc.titleTess2Speech: An Intelligent Character Recognition-To-Speech Application for Android Using Google's Tesseract Optical Character Recognition Engineen_US
dc.typeThesisen_US
Appears in Collections:Computer Science SP

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