How to Improve OCR Accuracy With Advanced Image Preprocessing

2021-06-27T17:16:41.278Z

Optical Character Recognition (OCR) innovation improved and better over the previous many years because of more expounded calculations, more CPU power and progressed AI techniques. Getting to OCR precision levels of 99% or higher is anyway still rather the special case and certainly not inconsequential to accomplish.

At solvio we figured out how to improve OCR precision the most difficult way possible and went through weeks on tweaking our OCR motor and stem ocr. On the off chance that you are amidst setting up an OCR arrangement and need to realize how to build the precision levels of your OCR motor, continue perusing…

In this article, we cover various procedures to improve OCR precision and offer our takeaways from building a top notch OCR framework for Solvio.

In the first place, Let's Define OCR Accuracy

With regards to OCR precision, there are two different ways of estimating how solid OCR is:

Precision on a person level

Precision on a word level

As a rule, the precision in OCR innovation is decided upon character level. How precise an OCR programming is on a person level relies upon how regularly a person is perceived effectively versus how frequently a person is perceived mistakenly. A precision of 99% implies that 1 out of 100 characters is questionable. While an exactness of 99.9% implies that 1 out of 1000 characters is unsure.

Estimating OCR exactness is finished by taking the yield of an OCR run for a picture and contrasting it with the first form of a similar book. You can then either tally the number of characters were identified accurately (character level exactness), or tally the number of words were perceived effectively (word level precision).

To improve word level exactness, most OCR motors utilize extra information in regards to the language utilized in a content. On the off chance that the language of the content is known (for example English), the perceived words can measure up to a word reference of every single existing word (for example all expressions of in the English language corpus). Words containing dubious characters would then be able to be "fixed" by discovering the word inside the word reference with the most elevated comparability.

In this article we will zero in on improving the precision on character level. The more exact characters are perceived, the less "fixing" on a word level is required.

OCR Scanning

2021-05-27T20:13:02.000Z

Why do you need an OCR SDK to simplify your workflows?
At the moment, you are probably wasting tremendous amounts of time and resources to capture or process thousands of documents. By using a ocr image to text software, you can boost your productivity and optimize your business workflows. Most SDKs are customizable to your needs, which makes it a flexible, fast, and easy solution for various industries such as banking, insurance, logistics, accounting or healthcare.

Another advantage: Once you have scanned a paper document, you won’t have to worry about inefficient and cost-intensive storage options for the physical copy!

Optical Character Recognition is an image processing technology that provides a convenient way to extract data from paper documents and turn it into a digital format. During the process, an algorithm recognizes characters from printed documents and creates searchable and editable PDFs. It is often applied in business process automation workflows.

Document digitization through on-device OCR significantly increases productivity. Precisely, automated data processing accelerates your workflow by up to 40 times compared to manually entering the information contained in your documents. Moreover, utilizing such solutions enhances security standards since costly and often insecure local storage of confidential data becomes redundant.

Volume vs. Flat-Rate Solutions
Volume and flat-rate models are the most common pricing models for Text Recognition (OCR) SDKs. While volume models charge a price per document or user, plus the installation fee, flat-rate solutions refer to a set price irrespective of the number of scanned documents. Thus, when digitalizing high or unpredictable amounts of documents, a flat-rate pricing model allows you to work with a budget that has been determined in advance. In order to guarantee transparency and calculable costs, we exclusively offer flat-rate solutions with no hidden fees, based on your personal budget.

Does Scanbot’s OCR SDK support various languages?

In an international business environment, being able to identify and process a great variety of languages is essential when performing OCR on a document. Currently, most solutions can recognize more than 100 languages but are restricted to Latin characters. Scanbot's SDK additionally supports diverse Arabic and Asian languages.

@solvio

How to Improve OCR Accuracy With Advanced Image Preprocessing

OCR Scanning

Does Scanbot’s OCR SDK support various languages?