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@article{147138,
        author = {Akesh Dhiman},
        title = {LabVIEW based OCR algorithm with web & audio interface},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {5},
        number = {4},
        pages = {304-306},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=147138},
        abstract = {Today web surfing plays pivotal role in our day to day life. All the information is far away from just one click. Same way reading also plays important role in our life. But it becomes easier to us when someone could read texts for us. Especially for people with visual disability, as they have to depend upon the braille script for reading. They can easily understand the text if they receive the text into an audio form. Hence this paper represents the idea to read the text in audio form and with the web interface to know more about the text. Thus OCR, stands for optical character recognition, is implemented using LabVIEW. OCR is a process of extracting textual data from an image in an editable form, whether the image is from scanned copy of handwritten notes or from computerized written. To make this more efficient proper training of each character is required. So that OCR can recognize maximum characters from an image. Therefore, string output is then processed for producing an audio output and generating a file in which will have the database of all the characters of an image.},
        keywords = {OCR, LabVIEW, NI Vision Assistant, Audio Output, Web interface, Database file.},
        month = {},
        }