Abstract / Excerpt:
OCR or Optical Character Recognition is the extraction of text from digital images either printed or hand written. OCR software attempts to replicate the combined functions of the human eye and brain, which is why it is referred to as artificial intelligence software.
There are many OCR techniques, an example of these techniques is the feature extraction method where the features found in the image are used to recognize the text in the image. There are already various existing OCR libraries and software in the present day. Some can already detect and extract different texts from different languages with different fonts but almost all the most accurate ones are for sale and there are only few that are open-source.
ASL (American Sign Language) is the most widely used sign language on earth. There are approximately 250,000 – 500,000 ASL users in USA and Canada [2] . The translation of words to ASL is not an easy process for non- experts and beginners.
Info
| Source Institution | Ateneo de Davao University |
| Unit | Computer Studies |
| Authors | Liuvenn Ace D. Maquiling, Erick Sebastien T. Estabillo |
| Page Count | 30 |
| Place of Publication | Davao City |
| Original Publication Date | October 1, 2014 |
| Tags | ASL, American Sign Language, Image Text Extraction, OCR |
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