Improving Data Extraction With OCR Passport Scanner
The use of an OCR scanner is effective all over the world. Details from documents such as identity cards, financial statements, and passports are generally manually recorded as per KYC compliance. To verify these credentials the verification team has to write down all the essential information such as names, dates, and other user identity data. This process is made simple by the introduction of OCR scanners. The hectic task of typing the data into databases is efficiently automated by optical character recognition technology. This method provides a computer-driven solution to all the tedious tasks of noting down data for different purposes.
What Is An OCR System?
The process which converts the text into machine-readable format is called optical character recognition. It is referred to as OCR which is implemented in most modern-day systems. The OCR systems are efficient in converting texts from photographs of documents, images of billboards, signboards, and subtitles within broadcasts into machine-encoded text files.
The tasks of manual data entry are successfully automated by these OCR systems in the least amount of time. Optical character recognition software reads and detects textual data from any given source of imagery to effectively convert them into digital data that can be modified and edited for future use.
Types Of OCR Systems
Optical character recognition technology was first conceptualized in the 1920s and evolved with time. The OCR system has evolved to a mark that is now being used in the most critical systems for the evaluation of customer identity.
Traditional OCR Systems
Starting from telegraphs, OCR technology has come a long way in processing data. The traditional OCR systems used techniques of extracting data from images. It processed the machine-written pieces of data with high accuracy rates. The other fonts and styles of texts were often misread by traditional OCR systems. The phase of text detection was based on glyph reading from the most utilized fonts and styles. The traditional OCR technology was not fully adopted as it had errors and mismatches.
Intelligent OCR Systems
The addition of artificial intelligence and machine learning in computerized processes greatly enhanced the performance of services. The modern-day OCR now enhanced and modified with ICR (Intelligent Character Recognition) is now capable of identifying tons of textual data with faster processing rates. The ICR system is also efficient enough to process handwritten pieces of data which was considered impossible with traditional OCR services.
Uses Of OCR Systems
The optical character recognition systems are deployed at different organizations for data extraction and reading. OCR scanning services are being consumed by different industries for faster data processing.
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Improving Security Systems
The security authorities are now using OCR effectively for maintaining secure interactions. It is installed on most protective systems to extract and identify the data of the people. With ICR solutions the criminal records are also managed digitally. The digital processing of previous violation records helps in the faster identification of offenders. The OCR technology is also used to detect violations of community guidelines on social networks and trading platforms.
Enhancing Customer Onboarding
The travel industry uses an OCR Passport scanner to verify the documents of their passengers. With OCR systems the previous records from the passport are verified to ensure the credibility of the customer. Most travel service providers use this text reading method to secure passenger onboarding. The identity verification phase is also greatly enhanced by the implementation of the optical character recognition technology. It is adopted by almost every industry for the secure onboarding of new customers. OCR in banking and financial institutions plays an important role in effective data handling. The customer’s financial statements are effectively scanned. The process of KYC identity document verification is also backed up by this technology. The benefits of OCR include the automated data extraction from customer-uploaded documents which is then verified via legal channels.
This technology is widely used for day-to-day image-to-text conversions. The smartphone industry is taking steps to implement mobile OCR solutions in their latest devices. This will enable the customers to convert image data using their mobile phone camera which will increase the productivity of the optical character recognition systems. The newer mobile phones are getting OCR systems built-in for conversions on the go.
Wrapping It Up
The manual data entry work is now considered past after the implementation of optical character recognition technology. The new OCR systems provide new ways of reading and extracting texts from different sources of documents. These extractions are made accurate by artificial intelligence and machine learning algorithms. With the addition of these technologies, the OCR system can even process handwritten text. It is being widely used across different industries of the world. From educational institutions to security agencies, all sectors are deploying this system for faster recognition of textual data.
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