Identify Verification Made Easy: Unveiling the Next-Gen ID card OCR System

Table of Contents

Using OCR technology (improved verification techniques), the characters contained in Passports and Identity Cards are detected and converted directly into digital form. In this way, it can be transferred to the desired environments. With this new generation system, you can read the electronic chip contained in passports and IDs and also get the Address, Document Issue Date, Place of Issue of the Document, Place of Birth, Photo of the Document Owner, additional personal information (may vary by country) information contained in the chip. With the Ultra Viole light, you can check the signs on passports and ID cards and detect fake documents. It is also possible to save this image to the computer at the same time.

Advantages of Identify Verification with OCR

  • Biometric technology includes data that is personal and difficult to fake.
  • Because biometrics are related to an individual’s physical characteristics, it is more difficult for that person to forget, misplace, or otherwise lose control of this access ability.
  • Biometric readers are one of the most reliable methods. The identification information can also be used in October in addition to the devices or with a PIN code. This type of security technology is found in government departments (Sensitive Compartmented Information Facility (SCIF), in the military, or in high–security areas such as a data center.
  • Current gains in the large-scale production of some types of biometric readers have brought biometrics closer in cost to traditional card readers.

Cons of Identify Verification with OCR

  • Although biometric scanners are typically not as fast as other readers, these technologies are still developing.
  • Biometric data stores and readers may be exposed to intentional manipulation for reasons such as storing the data without encryption/hashing process in order to access the data quickly, and the inability of the system contents used to ensure quality/adequacy (having a high false acceptance rate (FAR)). For example, fingerprint readers can be bypassed via smartphones or laptops, face reading systems with family similarities (such as facial features, etc.) can be bypassed by playing on passport photos, brute force attacks (Hill climbing) can be performed.
  • If the quality of the data is low (the data received during recording and reading is not clear/ has interference, etc.), the system readers (sensor) may not be able to authenticate correctly.
  • Some biometric systems may be perceived by the user as a security or health risk. For example, in cases where there is no passive control, such as fingerprints, retinal reading, surfaces that people physically touch can transmit diseases.
  • Some of the systems that perform biometric authentication may require user-side skills to function properly.
  • Some biometric systems may be perceived as unacceptable by the management for various reasons. Collection of biometric data in large-scale organizations, secure storage, size and authentication time/tolerance of the collected data, failure to ensure fair control for all personnel (lack of organs, change of fingerprints due to cut / burning incident), physical change of a person (weight gain / accident-injury) may be a reason why biometric systems are not preferred.
  • Biometric methods are one of the most expensive authentication methods. For this reason, it is used in critical areas such as airports, military zones. Current gains in the large-scale production of some types of biometric readers have brought biometrics closer in cost to traditional card readers.
  • It can be difficult to get accurate results in a number of authentication methods, such as fingerprints.
  • In a number of authentication methods, such as voice identification, authentication systems can be easily bypassed and imitated by recording the user’s voice.
  • Biometric identity data is considered as personal data and can reveal different personal information. For example, some fingerprint patterns are related to chromosomal diseases. Iris patterns can reveal genetic gender. Retinal scans can show whether a person is pregnant or has diabetes. Hand vein patterns can reveal vascular diseases. Some behavioral biometric data can reveal neurological diseases.
  • If the registration time (enroll) is long (more than a few minutes), if the speed at which the biometric system can scan / accept or reject the user is too slow, biometric systems may face major usability difficulties.

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