OCR for Images

What is OCR?

According to Wikipedia, OCR (Optical Character Recognition) is the transfer of written documents that are not in the computer environment in digital form that can be edited to the computer environment through special scanners or normally scanned images by some special programs. The read image or document is saved as a text file. One of the most well-known applications in our daily life is automatic license plate recognition. Photographs of the license plates of the passing vehicles are taken and immediately passed through the OCR application and entered into the system.

While each Optical Character Recognition system works slightly differently depending on the developer and purpose, some common file processing steps can be applied to all types of OCR software:

File Processing Steps

De-skewing (skewing), line-removal (line or block removal), binarisation (separating blocks), segmentation, script recognition, and data capture are the most common methods used in the preprocessing step to eliminate defects during character recognition.

This step refers to the separation of each character and the recognition of all pixel characters and spaces. Processing each character allows the system to recognize certain sets of characters as words. Generally, recognition is based on two techniques:

  • Matrix matching
  • Feature extraction

The software improves the accuracy of the data after it has been processed. The accuracy of the final data and output will depend on two factors at this step: the OCR system’s complexity and the initial data’s complexity. For example, typically simple OCR systems store standard fonts in their libraries, and if the document contains different fonts or handwritten text, simple OCR with standard fonts stored in its library cannot assign appropriate metadata to it. If the document contains complicated and non-standard characters, advanced OCR technologies are required.

optical character recognition

OCR with Robotic Process Automation

Let’s get a bit more into Robotic Process Automation, the technology where OCR is widely used, now that we’ve learned a little about OCR.

Robotic Process Automation, or RPA, is a technology that allows people to use a “digital workforce,” or programmed robots, to perform business processes more efficiently. Time-consuming, repetitive, monotonous, and periodic tasks are frequently associated with RPA. OCR and RPA are two technologies that may work together to automate a company’s daily operational processes.

How Do RPA and OCR Work Together?

While OCR is used to recognize and read information from various documents such as printed or scanned files, invoices, contracts, documents with subtitles on them, RPA helps to distribute information accurately to specific programs or systems – CRMs.

Document Processing Phases

Typically, Optical Character Recognition is used for highly structured documents, while in conjunction with RPA it can process and analyze unstructured files of various formats. In addition, RPA software robots can adapt to various scenarios and improve data collection and analysis processes that OCR alone cannot. So what steps does a document processing process involve?

1. Description:

Type of document; legible writing form, handwritten form, scanned writing form, etc. definition as

2. Classification:

Classification of documents such as invoices, contracts, signed printouts according to the defined format

3. Reading:

Character-based document reading

4. Action/Assimilation:

Performing result-based actions such as setting reminders, sending notifications, storing data in a structured format

Examples of Document Types Requiring OCR

  • Tax Forms
  • Legal Cost Invoices
  • Medical Coding / Transcription Diagnostics
  • Prescriptions
  • Procedures
  • Request Processing
  • Policies
  • Scoring Tables

In RPA, the data or information in the document detected with the help of the OCR library can be transferred to the needed systems or programs. The information or data transferred in these systems is inserted into the workflow according to the need in the business process and becomes output by the purpose of the business. In this way, OCR and RPA act together, in other words, we use OCR in RPA. In summary, non-digital or digitally difficult information can be scanned, read, and processed with the help of OCR. In the continuation of this process, which runs in RPA, this information turns into data and becomes usable in digital media for the relevant unit. This is one of the greatest examples of digital transformation.

ocr wtih rpaWhile there are advantages to OCR processes, there are also sensitive issues that need attention. One of them is that the information in the received document or image is missing or does not correspond to the desired structure. It harms the process’s flow. In cases when the scanned file is utilized at critical decision points, it would be useful to activate different control points to avoid such situations. 

Benefits of Kronnika RPA

Both OCR and RPA are solutions that aim to improve the efficiency of business processes. Combining these two technologies can bring even better results for your business and add more value to your workflows without the risks associated with inappropriate cross-system data storage and entry.

Save Time

Delegate your time-consuming tasks to Kronnika Digital Assistants. Save time for both your employees and your business.

Reduce Your Cost

Start using Kronnika robots without paying the Robot License fee and reduce your cost.

Increase Your Output Quality and Accuracy

Improve the output quality of your work and grow your business with more accurate results thanks to faultless robots.

Increase Employee Satisfaction

Speeds up your employees’ business processes by facilitating hard-to-complete tasks.

Clients Using Kronnika RPA Solutions

Take Your Business To The Next Level with Kronnika RPA

Get started with Robotic Process Automation in days by completing three simple steps!

1. Send us your scenario you want to automate, or let us to show you our best usecases

2. Let’s analyze your process and show you the project plan and RPA roadmap

3. Let our robots start working and support you on boring jobs