How do I turn a picture into a readable text?

Convert an image file

1. On your computer, go to drive.google.com.
2. Right-click on the desired file.
3. Click Open with. Google Docs.
4. The image file will be converted to a Google Doc, but some formatting might not transfer: Bold, italics, font size, font type, and line breaks are most likely to be retained.

What is pre processing in OCR?

The main objective of the Preprocessing phase is To make as easy as possible for the OCR system to distinguish a character/word from the background. Some of the most basic and important Preprocessing techniques are:- 1) Binarization. 2) Skew Correction. 3) Noise Removal.

How do I preprocess an image for OCR?

Improve Accuracy of OCR using Image Preprocessing

1. Scaling of image : Image Rescaling is important for image analysis.
2. Skew Correction : A Skewed image is defined as a document image which is not straight.
3. Binarization :
4. Noise Removal or Denoise :
5. Useful Links :

What is preprocessing of image?

Image preprocessing are the steps taken to format images before they are used by model training and inference. This includes, but is not limited to, resizing, orienting, and color corrections. Thus, a transformation that could be an augmentation in some situations may best be a preprocessing step in others.

How do you Binarize an image in Python?

You can binarize an image with cv2. threshold() . If type is set to cv2. THRESH_BINARY , any value greater than the threshold thresh is replaced with maxval and the other values are replaced with 0 .

What is preprocessing in OpenCV?

Preprocessing or namely image processing is a prior step in computer vision, where the goal is to convert an image into a form suitable for further analysis. For this article, I propose to introduce some of the commonly used image processing techniques leveraging a very popular Computer Vision library, OpenCV.

What is image binarization?

Image Binarization is the conversion of document image into bi-level document image. Image pixels are separated into dual collection of pixels, i.e. black and white. The main goal of image binarization is the segmentation of document into foreground text and background.

What are the two main steps involved in digital image pre-processing?

Step 1: Image Acquisition. The image is captured by a sensor (eg.

Step 2: Image Enhancement.

Step 3: Image Restoration.

Step 4: Colour Image Processing.

Step 5: Wavelets.

Step 6: Compression.

Step 7: Morphological Processing.

Step 8: Image Segmentation.