Detection of a Hand Holding a Cellular Phone Using Multiple Image Features
Detection of a hand holding a cellular phone was developed to recognize whether someone is using a cellular phone while operating an automated teller machine (ATM). The purpose is to prevent money transfer fraud. Since a victim is told a bogus reason to transfer money and how to operate the machine through a cellular phone, detecting a working cellular phone is necessary.
However, cellular phone detection was not realistic due to variable colors and shapes. We assumed that a user’s hand beside the face was holding a cellular phone and decided to detect it.
The proposed method utilizes color, shape, and motion. Color and motion were used to compare the input to the face. Shape was used to compare the input to the standard hand pattern. The experimental result was a detection rate of 90.0% and a false detection rate of 3.2%, where 7,324 and 20,708 images were used respectively.
Keywordshand detection multiple features color shape motion HOG optical flow face detection
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