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Fraud Detection using AI for Image-based Documents (ART/387CP)

Project Title:
Fraud Detection using AI for Image-based Documents (ART/387CP)
Project Reference:
ART/387CP
Project Type:
Platform
Project Period:
17 / 04 / 2024 - 31 / 10 / 2025
Funds Approved (HK$’000):
5,999.550
Project Coordinator:
Dr Arvin Wai-kai TANG
Deputy Project Coordinator:
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Deliverable:
Research Group:
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Sponsor:

DBS Bank (HONG KONG) LIMITED (contract service)
Continuous Technologies International Limited (contract service)
PRIMECREDIT LIMITED (contract service)

Description:

Project objectives: 1. To detect human-modified document images. 2. To detect AI-generated document images. ASTRI solutions: A new AI technology for manipulated document detection will be developed. New deep-learning models will be developed for AI-generated image detection. A comprehensive software platform will be developed to support fraud detection. Impacts and benefits: The accuracy of fraud detection will be improved. The fraud detection system helps protect financial institutes from financial loss due to document fraud. It allows for automatic processing of a large volume of documents leading to significant manpower cost reduction.​

Co-Applicant:
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Keywords:
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