ID Verification Report Overview

How does each section contribute to candidate’s ID-V evaluation?

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1. ID Verification Report

This section provides a detailed analysis of the candidate’s identity verification process. The system ensures authenticity through multiple biometric checks.

Session Details

• Session Start Time: The exact timestamp when the ID verification process was initiated.
• Session End Time: The timestamp when the verification process was completed.
• Session Status: Indicates whether the session was successful, failed, or incomplete. If the session was unsuccessful, possible reasons could include poor image quality, mismatched facial data, or an interrupted session.

Verification Metrics

The system evaluates the authenticity of the candidate’s identity using three key scores:

ID Verification Score

This score represents how accurately the submitted ID matches standard document verification requirements. It analyzes factors such as:

• Clarity & Readability: Ensures that the name, photo, and details are clearly visible.
• Tampering Detection: Identifies any signs of document alteration or forgery.
• Document Authenticity: Compares the submitted ID with known government-issued formats to validate authenticity.

Face Recognition Score

This score determines the similarity between the candidate’s face and the ID photo provided. The system uses AI-powered facial recognition technology to match key facial features, including:

• Facial Structure Comparison: Compares nose, eyes, jawline, and other facial landmarks.
• Angle Consistency: Ensures that the ID photo and live capture are taken at similar angles for better accuracy.

Liveliness Detection Score

This metric verifies whether the candidate is physically present during the verification process and not using a static image or video recording. The system evaluates:

• Blink Detection: Ensures that the candidate blinks naturally during the live check.
• Head Movements: Tracks subtle head tilts or movements to confirm a live presence.
• Depth Analysis: Uses 3D depth sensing to differentia

2. ID Verification Checks

This section lists all the checks performed during the ID verification process. These checks are categorized into two types:

1. ID Quality Tests

These tests ensure that the submitted ID meets basic quality and clarity requirements. The system evaluates:

• Tamper check: Detects if ID’s main portrait was physically tampered.
• ID Alteration Check: Validates if there are any foreign objects on the document.
• Alignment: the picture is badly aligned and the correcting algorithm for alignment and cropping could not correct it for processing, and also when cropped captured image of ID is near the edges.
• Screen ID Liveness: Confirms if the document was captured from a screen meaning that the plastic document was not used.
• Paper ID Liveness: Confirms if the document was captured from a printed paper meaning that the plastic document was not used.
• Id Already Used Check: Determines if the document was used in another session where the face belonged to different person.
• Balanced light (front side): Determines if there are proper lightning conditions to take the photo of the front of the document.
• Balanced light (back side): Determines if there are proper lightning conditions to take the photo of the back of the document.
• Sharpness (front side): Determines if the photo of the front side of the document is sharp enough.
• Sharpness (back side): Determines if the photo of the back side of the document is sharp enough.
• Fake Browser Check
• Fake ID check: Searches for discrepancies in the document layout and some other signs of fraud
• Visible ID Characteristics (front side): Verifies the visible ID characteristics.
• Visible ID Characteristics (back side): Verifies the visible ID characteristics.

2. ID-Specific Tests

These tests verify the authenticity and validity of the ID based on predefined rules and databases. Not all off the following data are always present. List of possible keys:

• Document Type Side Crosscheck: Check front/back id of document (if somebody put for example both front ID side during upload)
• Document Classification: Confirms that the document type is supported and that it can be fully authenticated.
• Document series expired: Document series expired: Confirms that the series of the document is not expired meaning that old invalid version of the document is not used.
• Birth Date Validity: Confirms that the date of birth is valid.
• Visible Photo Features: Verifies the visible photo characteristics.
• Selfie & ID Age Verification Result: This result reflects the comparison between the estimated age from the captured selfie and the age calculated from the date of birth based on the configured severity level.
• Expiration Date Validity: Confirms that the expiration date is valid.
• Issue Date Validity: Confirms that the date when the document was issued is valid.
• Underage check: Confirms if the ID was of a person under 18 on the date of check.
• Document Expired: Confirms that the document has not expired.
• QR Scan:Ensures that the submitted ID is genuine and unaltered by verifying the embedded QR code.
• Document Number Check Digit: Validates the authenticity of an identification document by ensuring that the number follows a specific pattern set by the issuing authority and helps detect errors or fraudulent modifications.
• Birth Date Check Digit: Verifies the authenticity and accuracy of a candidate’s date of birth as recorded on an official ID. This check ensures that the birth date follows a standardized format and has not been altered or tampered with.
• Expiration Date Check Digit: Verifies the integrity and correctness of an ID’s expiration date. It ensures that the expiration date follows a valid format and has not been altered or tampered with.
• Composite Check Digit: Validates multiple critical data fields on an ID, ensuring their integrity and authenticity. It acts as a final verification step by applying a checksum algorithm to a combination of essential document details.
• Illiteracy Check: Determines whether the candidate is unable to read or write based on their interaction with the ID verification system. This check helps in assessing whether the individual needed assistance in completing the verification process.
• Birth Date Cross check: Validates the date of birth (DOB) provided on an ID by cross-referencing it against other sources or records. This ensures that the DOB matches the expected format, and helps verify the authenticity of the candidate’s identity.
• Expiration Date Cross check: Ensures that the expiration date is consistent with expected standards and helps verify that the ID is still valid and has not been tampered with.
• Issue Date Cross check: Ensures that the issue date aligns with expected standards and verifies that the ID has been issued by the relevant authority in the correct timeframe.
• Sex Cross check: Verifies that the sex/gender information provided on an ID matches the expected or validated data sources. This ensures consistency between the sex listed on the ID and any available records, helping confirm the identity of the individual.
• Full Name Cross check: Ensures that the name on the ID is accurate, consistent, and properly matches other identification documents or databases, contributing to a more robust identity verification.
• Emission Number Cross check: It involves comparing the emission number on the ID against external or official data sources to verify its authenticity and ensure that the ID is correctly registered.
• Document Number Cross check: Ensures that the document number is accurate, valid, and properly registered with the relevant authorities, which is critical for confirming the authenticity of the ID.
• Personal Number Cross check: Ensures that the personal number is accurate, valid, and properly issued by the relevant authority, which strengthens the overall authenticity of the ID.
• 2D Barcode Content: Ensures that the data encoded in the barcode matches the visible information on the ID and is consistent with official records, helping verify the document’s authenticity and integrity.
• Barcode 2D Detected: Verifies that the document has a valid 2D barcode, which often contains important encoded information, such as personal details, document numbers, and other identifiers that help in the verification process.
• dD/Reference Number Cross check: Ensures that the reference number is valid and corresponds to legitimate records in official or trusted databases, helping to prevent fraud and confirming the authenticity of the document.
• Underage Check: Ensures the individual presented in the ID is of legal age for a particular activity, such as signing contracts, obtaining certain services, or meeting legal requirements.
• Document Number Format Valid: Ensures that the document number (e.g., ID number, passport number, driver’s license number) adheres to the proper format defined by the issuing authority. This check is a key part of validating the authenticity and integrity of the document.

A successful verification requires both ID Quality Tests and ID-Specific Tests to pass. Any failure in these checks may result in a rejected or flagged verification status.

3. ID OCR (Optical Character Recognition) Details

The ID OCR section provides information about the scanned data extracted from the document using Optical Character Recognition (OCR) technology. This process allows the system to automatically extract and verify text from images of ID documents, ensuring that the data is accurate and matches the original document.

Total Score:

The OCR Score reflects the overall accuracy of the data extraction process. A high score indicates that the document’s text was accurately recognized and matches the original data, while a lower score may indicate some discrepancies or errors in the OCR process.

Details Extracted via OCR:

• Birth Date: The date of birth extracted from the ID document is cross-checked against other available data to ensure its validity.
• Issuing Country Code: The system detects the issuing country of the document, which is verified to ensure it matches the format and rules for that country.
• Expiration Date: The expiration date extracted from the document is cross-verified with the issuing country’s standards for document validity.
• Address: The address extracted through OCR is validated against known formats or databases to ensure it is accurate and corresponds to the individual or document holder.
• Full Name (OCR): The full name of the individual is extracted and verified against other parts of the document to ensure consistency and accuracy.
• Checked Address: The address field may be verified with an external source to ensure the details match known records or expected formats.
• Type of IDDocument: The system detects and validates the type of document. For example, if it is a Driver’s License, the system ensures the document matches the expected format and details for this category.
• Document Front Subtype: The subtype refers to the specific category of the ID document (e.g., a driver’s license) and ensures it is properly recognized.
• Document Number: The document number extracted through OCR is verified to match the expected format and cross-checked for consistency with official records.

3. Face Recognition Verification

The Face Recognition section assesses the authenticity and match between the onboarding selfie (uploaded by the user) and the photo on the government-issued ID. This verification helps ensure that the person submitting the ID is the same individual in the selfie, preventing identity fraud.

• Total Score: The Face Recognition Score represents the accuracy of the match between the selfie and the government ID photo. A higher score indicates a higher level of match confidence, whereas a lower score suggests potential discrepancies in facial features or quality of the images.

• Face Match Details: The system compares the uploaded selfie (taken during the onboarding process) to the photo on the government-issued ID (e.g., passport, driver’s license). The comparison involves assessing facial features such as the eyes, nose, mouth, and overall face structure.

• Match Status: This indicates that the system found a sufficient match between the two images, suggesting that the person in the selfie is indeed the same individual shown on the ID.

• Face Mask: The system verifies if the individual is wearing a face mask during the selfie. If a mask is detected, it may affect the accuracy of the facial match. In this case, no mask was detected, making the verification process more reliable.

• Lenses: The presence of glasses or lenses in the selfie can sometimes interfere with the facial recognition process. Here, the system detected that no lenses were present, allowing for a clearer match between the two images.

• Brightness: The system assesses the brightness levels of both images. Proper lighting is important for facial recognition to function correctly. If the lighting is too dim or too bright, it can affect the accuracy of the comparison.

4. Liveness Detection

The Liveness Detection section ensures that the individual submitting the selfie or video is physically present during the verification process, preventing the use of photos, videos, or other digital manipulations to spoof the system.

• Total Score: This section will have the total liveness detection score once available

Liveness detection helps verify that the individual in the selfie or video is not using a static image or prerecorded video but is actively present and engaging in the verification process. The system performs several checks to detect any attempt at spoofing or evasion.

• Liveness Detection Checks: This is the core check to ensure that the individual is alive and present during the verification. The system may ask the user to perform actions such as blinking, smiling, or moving to ensure they are engaging in real-time rather than using a static image.
• Digital Spoof Check: The system checks for signs of digital manipulation, such as the use of photoshopped images, video edits, or screenshots. It ensures that the image being uploaded is not a digital spoof or fake attempt.
• Face Evasion Check: The system looks for any attempts to evade detection, such as the individual turning their face away, not facing the camera, or hiding their face intentionally. This check helps confirm the person’s authenticity and presence during the verification process.
• Closed Eyes Check: To avoid situations where the individual might upload a photo with their eyes closed, the system checks that the individual’s eyes are open and engaged during the selfie or video capture. This helps eliminate potential manipulation attempts with closed-eye photos.
• Hat Check: The system detects if the individual is wearing a hat or headgear that could obscure their facial features. While some headgear might be allowed, the system ensures that the individual’s face is clearly visible and not obstructed, making it easier to match with the ID photo.

5. Device and Network Details

This section provides detailed information about the device and network used during the ID verification process. It helps establish context for the verification and ensures that the process is being carried out from a legitimate and secure device.

• IP Address: The IP Address represents the unique address assigned to the device used for the verification. It helps identify the location and network the request is coming from, ensuring the verification process is legitimate.
• IP Country: This field provides the country where the device is located based on the IP address. It helps verify that the request is coming from a valid region, ensuring no suspicious international locations are involved in the verification process.
• IP City: The city where the device is located based on the IP address is provided here. This helps confirm that the verification request is coming from a legitimate location, reducing potential fraudulent activity.
• IP Region: The region or state associated with the IP address. This provides an additional layer of geographic information, which helps validate the device’s location.
• IP Longitude and Latitude:(Longitude,Latitude) These fields provide the geographic coordinates of the device, derived from the IP address. This data is essential for confirming the physical location of the device during the verification process. It helps ensure that the request is coming from a plausible and expected location.
• Hash: The Hash refers to a unique identifier generated for the verification session. It helps track and correlate device activity during the verification process, ensuring that no duplicate submissions are made.
• Device Type: This field indicates that the verification was carried out through a web application. The device could also be a mobile device, tablet, or any other platform used for initiating the process.
• OS Version: This provides the operating system version running on the device at the time of verification. It helps determine whether the device is running an up-to-date and secure version of its operating system.
• Device Model: The device model provides specific information about the hardware used to initiate the verification. This could include whether the verification was carried out on a smartphone, laptop, or tablet, helping ensure the device’s authenticity.
• BrowserModel: This field indicates the browser used during the verification process. The system checks if the browser used is compatible with the ID verification process and whether any browser-specific issues may have impacted the verification experience.
• Mocked BrowserModel: This indicates whether the browser used to initiate the process has been mocked or spoofed. A mocked browser would indicate that the device is potentially being used in an attempt to deceive the system. Since the response is No, it means the browser was not spoofed, which adds credibility to the process.