The unified identity journey with

INE Face match

Compare and determine if the selfie matches the photograph held on file by INE within the official government database.

OCR on ID(s)

Extract all relevant information included in the identity document through OCR. Optionally, allow the user to modify the information if it is required.

INE Fingerprint Verification

Compare and determine if the fingerprint matches the prints held on file by INE within the official government database.

Identity Data extraction

Decode PDF 417 barcodes and other QR codes to extract their information.

Address Extraction

Acquire and process a proof of address document provided by the user. Automatically extract the address and other relevant information.

Liveness Detection

Ensure the user is a real live person with Incode’s certified passive liveness technology. Our technology has been certified by iBeta, an independent testing laboratory, to comply with the ISO/IEC 30107-3 Presentation Attack Detection standard following NIST guidance.

Address Standardization

Allow the user to confirm which address from the multiple addressed captured in the process is the current mailing address.

Face Match

Compare and determine if the selfie matches the photograph on the ID. Incode’s facial recognition technology is one of the best in the world, as evaluated by NIST in its July 2019, 1:1 FRVT report, with the best combination of facial recognition speed and accuracy.

DMV Verification

Compare and determine if the data obtained through OCR or from the PDF-417 barcode on a US driver’s license matches the information held on file by the Department of Motor Vehicles (DMV) of 37 states.

INE Data Verification

Compare and determine if the data obtained through OCR from the Identity card matches the information held on file by the Mexican National Electoral Institute (INE – Instituto Nacional Electoral).

SSN Verification

Verify that a social security number corresponds to a particular individual.

Face Match 1:N

Determine if a face is found within a dataset of N records. Incode’s facial recognition technology is one of the best in the world, as evaluated by NIST in its March 2020, 1:N FRVT report

QR Code Facial Verification

Embed a facial template and other relevant information within a QR code and use it to match a user’s face and validate identity.

Credit Bureau Verification

Run a credit check on all three credit bureaus