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How Delhi's Government Databases Became Clogged With Ghost Images—and Why It Took Years to Act

A quiet administrative failure in the capital's digital records system has exposed how duplicate photographs accumulated across welfare schemes, voter rolls, and civic portals over more than a decade.

By Delhi News Desk · Published 5 July 2026, 1:11 am

3 min read

How Delhi's Government Databases Became Clogged With Ghost Images—and Why It Took Years to Act
Photo: Photo by Roman Saienko on Pexels

Delhi's public record-keeping machinery is confronting a problem it quietly allowed to grow for years: millions of duplicate images embedded inside government databases that underpin everything from ration card distribution to Delhi Metro Phase 4 contractor registrations. Officials at the Delhi e-District portal—the unified citizen services platform that processes applications across 70-plus services—confirmed earlier this year that an internal audit had flagged the issue as a priority remediation item for the 2026-27 administrative calendar.

The problem matters now because the AAP administration has staked a significant part of its governance credibility on digital delivery of welfare entitlements, and any integrity gap in the image data underpinning those records creates exploitable loopholes. The timing is also sharpened by the Union government's push through the Ministry of Electronics and Information Technology to standardise biometric and photographic data standards across all state portals by the end of December 2026.

How the Duplication Built Up

The roots run back to 2012-2013, when Delhi's various departments—the Food and Supplies Department on Rajpur Road, the Revenue Department offices in Civil Lines, the Delhi Jal Board—each built their own citizen-facing portals with their own image upload pipelines. There was no central deduplication engine. A resident applying separately for a Scheduled Caste certificate, a ration card under the National Food Security Act, and a property mutation at the South Delhi Municipal Corporation sub-registrar's office in Saket could upload a scanned photograph three times, with no backend system checking whether the same face already existed in the master repository.

When the Delhi e-District platform began consolidating these services under one umbrella from around 2015 onward, it ingested legacy databases wholesale. The photographs came with them—unverified, unindexed for facial similarity, and in some cases low-resolution scans that had themselves been duplicated when paper files were digitised in multiple phases. By 2020, the National Informatics Centre's Delhi state unit estimated that certain welfare scheme photo repositories contained a duplication rate somewhere in the range of 8 to 12 percent, a figure first cited in an internal working paper circulated within the DOIT&C—the Department of Information Technology and Communications—and later referenced in procurement documents for a new image management tender floated in early 2024.

The Aam Aadmi Party government's flagship mohalla clinic programme added another layer from 2016. Each of the roughly 500-plus mohalla clinics operating across localities including Mangolpuri, Trilokpuri, and Seemapuri registered patients with photographs that fed into the Health Management Information System. That system, too, had no live link to the e-District photo store. The result was a second parallel image universe growing alongside the first.

The Audit That Forced the Issue

A compliance review tied to Delhi's preparation for Aadhaar-seeded database reconciliation in late 2025 finally put a number to the backlog. Procurement documents published on the Government of Delhi's official tender portal in March 2026 described a contract requirement to process and deduplicate an image dataset described as exceeding 1.4 crore records across six major departmental databases. The tender, valued at approximately Rs 3.8 crore, was awarded to a Delhi-based technology firm, with a project completion deadline of September 30, 2026.

The technical fix itself is not complicated—automated perceptual hashing and fuzzy matching algorithms can identify near-identical images at scale in a matter of days given adequate server resources. The harder problem is governance: deciding which record is canonical when two duplicates represent a genuine person who legitimately re-registered after a name change, a marriage, or a residential shift from one part of Delhi to another, say from Dwarka Sector 12 to Rohini Sector 22.

Citizens who interact with the e-District portal at its centres in Lajpat Nagar or Karol Bagh are advised to carry original Aadhaar documentation when visiting in the coming months, as the deduplication process may trigger verification flags on older records. The DOIT&C has indicated a public-facing status tracker will be made available on the Delhi government website once the remediation contract reaches its first milestone in August 2026. The broader lesson is administrative: piecemeal digitisation without shared data standards is not a shortcut—it is a debt that eventually comes due.

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