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Data verification methodology: 1x1 Matching

Understand how 1×1 Matching works in Database Validation.

This page outlines the 1x1 Matching methodology used in the Database Validation solution. The underlying rules are pre-set to optimize user approval rates without compromising the level of verification assurance.

The data matching rules are standard for all Sumsub clients and not available for customization.

Database Validation

The 1x1 Matching methodology requires matching user’s personal and address data against one source to receive a

Match
on their identity.*

Verification result

Name

ID number

Date of birth
Match
Match
Match
Any Value
Partial Match
Partial Match
Match
Any Value
No Match

All other combinations

All available data sources are screened until a Match on the identity is made. If a Match is not found, the system then repeatedly checks those sources for a Partial Match.

Data matching scenarios

This section details the matching scenarios in each data category that are relevant within Database Validation: Name, Date of birth, and ID number.

Name matching

Name Match requires meeting any of the following combinations:

  • First name
    Match
    + Last name
    Match
  • First name
    Match
    + Maternal name
    Match
    +
    Paternal name
    Match
  • First name
    Match
    + Maternal name
    Match
  • First name
    Match
    + Paternal name
    Match
  • First initial
    Match
    + Last name
    Match
  • First initial
    Match
    + Maternal name
    Match
  • First initial
    Match
    + Paternal name
    Match
  • First initial
    Match
    + Maternal name
    Match
    +
    Paternal name
    Match

Name Partial Match requires meeting any of the following combinations:

  • First name
    Match
  • Last name
    Match
  • Paternal name
    Match
  • Maternal name
    Match
  • Maternal name
    Match
    + Paternal name
    Match

Date of birth matching

Date of birth Match requires meeting the following combination:

  • Year of birth
    Match
    + Month of birth
    Match
    +
    Day of birth
    Match

Note that certain countries may have exception to the default Date of birth matching rules.

ID number matching

ID number Match requires meeting the following combination:

  • Identification number
    Match

Data matching sensitivity

These are the criteria for fuzzy matching on different data attributes against country sources.

  • Name

    Name matching requires the data input to have 70% of the Levenshtein character similarity in comparison to the source record.

  • Date of birth and ID number

    Date of birth and ID number matching requires an exact match between the data input and the source record.

Examples

The following examples demonstrate how the matching sensitivity level works in practice:

Data field

Input data

Source record

Result

first_name

Jeanette

Jeanette
Match

first_name

Jeanotte

Jeanette
Match

first_name

Gene

Jeanette
No Match

last_name

Richardson

Richardson
Match

last_name

Richardsen

Richardson
Match

last_name

Richarliset

Richardson
No Match

Updated 5 days ago

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