Master's project · 2019
ATM identity validation with face recognition
A cross-platform academic prototype exploring face recognition as a secondary identity-validation layer for ATMs.
01 · Context
The problem
Card-and-PIN authentication can benefit from an additional, non-contact identity signal when security risk is high.
02 · Role
Responsibility and scope
Designed, implemented, tested, and documented the prototype as the author of a California State University, Dominguez Hills master's project.
03 · Decision logic
Combined Haar Cascade face detection with Local Binary Pattern recognition, persistent training data, motion detection, and a desktop application workflow.
04 · Outcome
What changed
The project report states a recognition rate above 90% under its selected testing strategy; it recommends future work on speed and recognition performance.
05 · Learning
Lessons and next iteration
Biometric systems require careful attention to testing conditions, failure handling, privacy, and layered authentication—not accuracy alone.