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Bharat ABIS enables billion-scale multi-modal biometric search

By PulseAugur Editorial · [2 sources] ·

Researchers have developed Bharat ABIS, an open-source system designed for large-scale, multi-modal biometric searches. This system integrates fingerprint, face, and iris data to create a unified template for efficient identity de-duplication. Evaluations on a massive dataset derived from India's Aadhaar database show promising accuracy, with a false negative identification rate of 0.3% at a 0.5% false positive identification rate. The system demonstrates impressive performance, achieving 100 searches per second on a gallery of 40 million identities using a single server equipped with Nvidia H100 GPUs. AI

IMPACT Demonstrates advancements in large-scale biometric search systems, potentially impacting identity verification and security infrastructure.

RANK_REASON The cluster contains an academic paper detailing a new system for large-scale biometric search.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Bharat ABIS enables billion-scale multi-modal biometric search

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The cluster contains an academic paper detailing a new system for large-scale biometric search.
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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Anil K. Jain ·

    Towards Billion-scale Multi-modal Biometric Search

    Searching a multi-biometric database of a billion records for a country-level identity system requires pushing the limits of all aspects of a biometric system, including acquisition, preprocessing, feature extraction, accuracy, matching speed, presentation attack detection, and h…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    Towards Billion-scale Multi-modal Biometric Search

    Searching a multi-biometric database of a billion records for a country-level identity system requires pushing the limits of all aspects of a biometric system, including acquisition, preprocessing, feature extraction, accuracy, matching speed, presentation attack detection, and h…

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