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_aLORENZO LUIS L. SANTOS GRAZELLE ANN K. SINOCRUZ.
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_aA further enhancement of OCR's two-pass image labelling algorithm used for converting scanned text documents into an editable and searchable data.
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_cMarch 2017.46
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_atext
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_aunmediated
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_aThesis: (BSCS major in Computer Science) - Pamantasan ng Lungsod ng Maynila 2017.
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_aABSTRACT Optical Character Recognition, or OCR, is a technology that allows you to convert various types of documents, such as scanned paper documents, PDF file, or pictures captured by any type of camera into an editable and searchable data. It is broadly used as a form of data entry from any sort of original paper data source, whether school or business documents, receipts, mails, passport documents, or any printed records. It is a usual way of digitalizing printed texts so that they can be electronically edited, searched, stored more compactly, displayed online, and used in machine processes such as text-to-speech, text mining, machine translation, etc. OCR is a field of research in pattern recognition, computer vision, and artificial intelligence. Almost close to perfection, but Optical Character Recognition still has its flaws. This led the researchers do some further enhancements on the said algorithm mainly: Unable to recognize some ASCII Characters, unable to recognize properly-aligned slanted words, and, unable to convert exponents and subscripts accurately. The researchers used survey method for the gathering of data for us to know the user's view about OCR. The researchers recommend people to use the further enhanced application, but, if users still experience some drawbacks, feel free to improve the algorithm for the benefit of other users.
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