Key Features of ID Scanners

Modern ID scanning software uses advanced technology, similar to the automatic license plate recognition (ALPR) and palm scanning technologies. They are widely used to scan various identification documents, including government-issued IDs, residency cards, licenses, and more. They use a scanning engine to extract invisible and visual data containing important information about the cardholder.

ID scanners should verify the documents’ authenticity through several ways to eliminate possible forgeries. Below are key features that an ID scanner app uses to verify documents.

Optical scanning

Optical scanning is the first and most basic technology used by ID scanners. The scanner takes a digital picture of the document to create a visual representation. Users should take the photos clearly, as glares and reflections can hinder the scanner’s ability.

Optical character recognition to interpret text

After the scanner has created a perfect visual image of the document, the next feature, the next step is using OPR. Using optical character recognition, ID scanners read numbers, letters, and other symbols in the document. It then records them into data files, either as names, addresses, contact numbers, or additional confidential information. Document number and origin are also visible data.

To ensure the versatility of ID scanners, manufacturers often have specialized OCR that reads special non-Latin characters. ID scanners are widely used. Therefore, they should identify different alphabets, including Greek and Cyrillic, which are the commonly used non-Latin characters.

Interpretation of image IPI

Most pictures on official identity documents, such as passports, have embedded data that can only be read using specialized technology. Otherwise called Invisible Personal Information, ID scanners should check the authenticity of image IPIs, as they are crucial security features. The ID is possibly fake if the information on the IPI doesn’t match information visible from the document or is coded improperly.

High-level security checks

Effective ID scanners should subject collected data and images to various security checks to verify their authenticity. Like counterfeit money, detecting skillfully forged identity documents might prove challenging. Invisible imperfections in images, poor ink quality, and slightly missed patterns are key clues of forged documents that good ID scanners should pick up.

ID scanners ideally check machine-readable zones to ensure that it complies with the recommendations of the International Civil Aviation Organization. The scanner should also evaluate for pattern matching, biometric integrity, and decoded IPI information.

Accurate performance in varying light conditions

ID scanners should perform accurately in varying light conditions. Typically, you should use the mobile scanner in reduced lighting conditions or areas where it can be overshadowed. Direct sunlight and other activities also affect the light conditions. However, an effective ID scanner should read and adjust ID images to compensate for these varying conditions.

Most ID scanner apps convert smartphone cameras into sophisticated scanning systems. As such, the cameras can filter out and eliminate ambient light effects, including reflections and shadows, to produce perfect images.

Endnote

ID scanner apps are sophisticated software that verifies the authenticity of various government-issued identification documents. The software should have an advanced scanning engine to identify slight errors to differentiate real from forged documents. The tool should also be adaptable to recognize newly revised or new types of documents.

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