Software engineer Computer Science

Develop and implement a process which enables conversion of text from an image with a high degree of accuracy

Develop and implement a process which enhances a textual image quality with high degree of accuracy.

Certified by

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Timeline

30 days

Certificate

Provided by the Company after Review

Incentives

Paid Internship

Expected Output

  1. Complete Code of the ImplementationĀ     Link
  2. Implementation Document - Listing the design of the implementation along with any options researched and selected.    Pdf
  3. Soft copies of the Input and the Enhanced Images    Pdf
  4. An Executional Report - It must show the before and after measurements of the aspects of the input and enhanced images.    Pdf

Why take up this Menternship?

On completing this Menternship, you will learn about

  • 1. NLP/ Preprocessing of Textual Image
    2. OCR

About this Menternship

Optical character recognition (also optical character reader, OCR) is the mechanical or electronic conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene-photo (for example the text on signs and billboards in a landscape photo) or from subtitle text superimposed on an image (for example from a television broadcast). 

Before an image is converted to text using OCR, the preprocessing of the image to enhance it is very critical for the accuracy of the OCR process. This challenge is to develop and implement a process which enhances the images prior to OCR.

Develop and implement a process which enables conversion of text from an image with a high degree of accuracy