#READ TEXT ON IMAGE HOW TO#
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#READ TEXT ON IMAGE INSTALL#
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#READ TEXT ON IMAGE INSTALL#

Execute the following command to install the Python wrapper for Tesseract:.

Install the corresponding files for your operating and remember the installation path.

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Download the installation files for Tesseract from this link:.

The installation steps for the Tesseract library are as follows: However, we will be using Tesseract which is one of the most commonly used OCR libraries for Python. Several Python libraries exist for reading text from images.

#READ TEXT ON IMAGE PDF#

For instance, the applications exists which convert the hardcopy of textbooks into pdf and word format. The task of reading text from images is not limited to invoices. The task of reading text from invoice images can be broadly categorized into two steps: In the next section we will show a very crude approach to read invoice images using Python. In short invoices come in all sizes and shapes and therefore, it is extremely challenging to develop a universal invoice image reader.

On the contrary, the other invoice may contain total amount at the bottom. For instance, in one invoice, the total amount may be at the top of the invoice with the prices of individual items broken down at the bottom. Text Structure: Difference invoices have text located at different locations.Fonts and Character Differences: Fonts and character difference also adds to the difficulty in reading text from invoice images.The lack of uniformity among the fields in different invoices makes it extremely difficult to develop a universal invoice reader. For instance some invoices contain information about a customer’s bank statement while the other invoices contain information about a particular transaction at a super market. Lack of Uniformity: Invoices differ a lot with the respect to the contents.Invoices with tilted oriented are difficult to read. Invoice Orientation: The orientation of invoices in the images is not same.Invoices with high text density are easier to read compared to low text density. Varying Text Density: The text in image invoices differ from image to image.Some of these challenges are enlisted below: Challenges Associated with Reading Invoice ImagesĪs with any other OCR task, various challenges are associated with reading text from text invoices. Also, RNN can help in parts of speech tagging and named entity recognition of the text, which can in turn help to identify whether the text is a product, currency, date etc. therefore, they can be used to predict the next character which can help in the correction of mistakes. Recurrent neural networks learn from sequence of data. For instance, convolutional neural networks work best for image recognition hence they can be used to recognize text from images. The deep learning based approaches use image recognition techniques along with the advanced neural networks to identify text from images. To further study about classification computer vision approaches. Classification approaches are applied to classify the characters.Text characters are recognized one by one in a sequence.Different type of filters are applied that normally blur the background, thus making the text more prominent and easier to identify.The process adopted by classic computer vision based approaches for OCR can be divided into the following steps:

Basic understanding of image processing will also help but is not required.Īs discussed earlier, approaches for object character recognition can be divided into two categories: Classic Computer Vision Based Approaches, and Advanced Deep Learning based approaches.

#READ TEXT ON IMAGE CODE#

It is assumed that the readers have intermediate knowledge of the Python programming language since the code samples are in Python.

#READ TEXT ON IMAGE HOW TO#

Finally, you will see how to read text from a very simple invoice image using Tesseract library. The article will briefly review both the approaches and will also discuss some of the challenges that are associated with invoice image recognition. Both the approaches have their own pros and cons. Traditional computer vision as well as advanced deep learning approaches exist for OCR. The process of reading text from images is called Object Character Recognition since characters in images are essentially treated as objects. Text invoices contain variety of information such as product names, VAT, product prices, vendor or customer names, tax information, the date of the transaction etc. In this article, you will see how to read text from image invoices using Python programming language.

Read text on image