CBSE will implement biometric authentication through digital fingerprint capturing, photo capturing, and face matching
The CBSE board examinations next year for classes 10 and 12 could feature strong security measures to detect impersonation.
The Central Board of Secondary Education is planning biometric authentication through digital fingerprint capturing, photo capturing, and face matching with scanned photos of candidates for authentication during and after the examinations, CNN-News18 has learnt.
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Project to cost Rs 20 crore
The project will cost Rs 20 crore and cover all 1,200-1,300 examination centres of the board, as per a CBSE document accessed by CNN-News18.
“The Board is keen to implement Biometric authentication and attendance marking system to make the examination process robust by implementing Digital Finger-print capturing and Face matching (including photo capturing) of candidates by verifying Candidate’s identity on real-time basis to monitor various activities of the candidates at the examination centres across country,” the document says.
How will it work?
The CBSE will provide centre-wise data of roll numbers, photos, and names of all registered candidates to an agency one to two weeks in advance of the exam and the agency will then use this data for digital fingerprint/photo capturing and face matching and shall enable a strong mechanism for candidate verification during and subsequent stages of the process.
The agency will install state-of-the-art QR code scanner integrated hand-held devices for digital fingerprint/photo capturing and face recognition along with trained technical machine operators to carry out this task at every test centre during the examination.
At least “one hand-held fingerprint scanner and face recognition device per manpower for every 60 candidates” will be deputed. It will capture digital fingerprints and photographs of every candidate who has appeared in the examination at each centre.
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There would also be a secure provision of a real-time attendance monitoring system through a secured web server.
The entire database and application server will be at two different seismic zones within India.
A hologram sticker will be pasted on the admit cards of candidates after capturing their fingerprints and photographs, and a deduplication algorithm will be deployed across the database to avoid the duplication of candidates’ records.
The facial recognition will be performed in a completely stateless transaction of two images: one image provided during the online registration and the other captured on the day of the exam.
The report of any mismatch during facial recognition will be provided to the board immediately within 30 minutes of the commencement of the examination.
