Biometric Enrollment Services platform is designed for cross industry applications including, Border ID, Criminal ID, and Civil ID.

Smartface provides end to end Biometric Enrollment solutions for large scale and small scale Identity Management projects. The enrollment services are built based on our extensive experience in designing and deployment of large scale biometric projects and are specifically designed to facilitate capture of biometric (4+4+2), slap and including biographic data in a secure, efficient and cost effective manner. Smartface can provide every government and private sector enterprise software applications and services including consultancy and support required for registration and enrollment solutions.

The Biometric Enrollment Services are built around Smartface Multi-modal biometric enrollment platform that supports a flexible and scalable architecture and is device agnostic. The platform enables easy integration of enrollment of multi biometric: Face, Fingerprint, Iris, and palm across a wide range of biometric devices. The data stored is encrypted and transferred to backend server making the solution secure. It is very important that high quality biometrics is captured during enrollment as it affects the accuracy of the biometric system. Inbuilt quality checks are embedded into the system to ensure feedback on quality is given to the operator in real-time.

De-duplication of biometric data is also crucial as it is used to establish user identity, and leveraged

for identification and authentication. System as it ensures that a subject is not registered more than once. Identity deduplication works by matching biometric records of subjects being enrolled to previously stored biometric data. During the deduplication process, duplicate entries are removed from the system and one identity of an individual is saved within the database.

The de-duplication services from smart face are built around Multi-Modal Biometric Platform that is highly scalable and supports a flexible architecture. The platform is built on the experience of delivery some of the world’s largest and fastest Biometric Identification and De-duplication projects. The system provides flexibility to the clients to from technologies and algorithms depending on the application and desired performance with parameters.

The system also supports manual adjudication of matches found by the system to identify false matches if any. Biometric quality measurement before de-duplication is another most important aspect of the system that ensures a continuous improvement process by providing feedback to the enrollment agency about the quality of their data. The system is designed for continuous improvement in throughput and accuracy.

To seek someone’s identity can be performed over so many enrolled identities in the database (we refer to as “N”), then it can recognize a person and giving outcome in real-time using SmartFace Tech ABIS (Authentication Biometric identification System).

In a Database containing of the whole Nation-wide Identities, it is absolutely to make sure every citizen as an individual must have only one identity. We will refer this as National ID databases which involve millions to billions of data where any duplication of identities are very much difficulties related to such databases.

Every time we register new users, every single data must be checked against the whole content of the database (Many-to-Many or N: N) to find out if any duplicates are available.

Every time we conduct authentication, the main thing that is required to figure out is whether a given set of authorizations data already available in the database (it is either One-to-Many / 1: N or One-to-One / 1:1).

The following are the process of this system. It includes:

1. The records obtained in the course of registration process will be pre-programmed to be flatten, encrypted by the specific registration software, and passed to a central storage (this is mostly well-known as National Population Register / NPR or the National Identity Register / NIR), where it runs into various pre-programmed steps of execution and confirmation.
2. The templates are produced from the biometrics images of biography-related data taken from the registration process.
3. After that it will be continuously searched (into the priorly registered templates in related to that specific identities) until it gets matched.
4. If there is no match obtained, we can consider the identity as new entrant and will be put forward to the next step to be validated furthermore.
5. If obtaining a match, we can consider that the identity was priorly registered got duplicate.
6. If obtaining a doubt to conclude the decision, we will need human judgement (an operator which already got training and knows how to give confirmation whether it is matched or consider this as deception and will recommend suitable moves to be taken to avoid the finalizing of registration).

To strengthen the de-duplication process, it also includes some additional process as follows:
• By using a metadata obtained during registration process, this can be set forth in further to the process of evaluating, assessing, confirming, and connecting to any other claimed identity purpose such as social subsidy, health program, legal, etc
• After identity is examined, then it can be analysed for the social footprint. For example, cross-checking and referring with other external databases and any available information (such as: property registers, voter registers, civil registers, and police records, etc)
• After all those assessments verify that the identity is real as well as connected to the existing registers mentioned above, then it can be issued a unique identification number (every country has their own term to be referred to) then the identity will be added into the NPR or NIR.
• Finally, this identity is made permanent and tied to the NPR or NIR for lifetime.

This SmartFace Tech ABIS, consists of:
• The registration station (put in the front-end) to capture biometric data
• The ABIS (put at the backend) performs de-duplication process across one or multiple biometric modalities, to ensure the singularity of each data in the database or identity repository. One subject of person only has one unique identity
• Nation-wide SmartFace Tech ABIS can be considered as the only source of information of the population that any Individuals, Organizations, and Governments can count on it

The aim of the Smartface Tech Biometric Authentication Service is:

• It offers high availability, reliability, rapidness, and security to verify the identity of a subject (person / user / etc) through real-time Biometric Authentication, which is applicable for Individuals’, Organizations, and Governments’ purpose.
• It provides an online authentication which accommodate innovative and cutting-edge technology of multi-biometric recognition of iris, face, and fingerprints.
• The templates generated from the live sample scanning process in the registration station, will be checked with the characteristics of a template which already available in the database. If there is a match, the subject is authenticated and eligible to get access into the system, otherwise the subject will be rejected to access or entering into the system.
• It provides interoperability and compatibility among different surrounding systems and any required authentication devices.

How those multi-biometrics will be measured for this authentication process are based on these following:

• Fingerprint: capture and measure the minutia of a fingerprint (whorls, loops, and arches)
• Hand: capture and measure a hand’s geometric features (the length of the fingers and the width of the hand).
• Iris: capture and measure the unique patterns of a subject’s iris
• Face: capture and measure the distance between the essential features, and the facial geometry.

Facial recognition is a biometric uniquely identifying or verifying a person by comparing and analyzing patterns based on the person’s facial points. The technology is mostly used for security purposes, though there is increasing interest in other areas of use. Facial recognition technology has received significant attention as it has the potential for a wide range of applications related to law enforcement as well as other enterprises...

As a result, facial recognition technology is less physical interactive and easy to use:

• Fast and non-interactive Identity verification
• Benefits of facial recognition in Banking and Fintech sectors
• Benefits of facial recognition in retail, CCTV camera and access control
• Improved public security

Face Recognition:

• [1:1 and 1:N Face Matching]
• Spool proof real time face detection
• Active and Passive Liveness
• Face extraction and creating templates
• Face masks detection and matching
• Face Verification