Face Detection Methods Applied in ATM Automatic Identification System

Ming Hui Zhang; Yao Yu Zhang

doi:10.4028/www.scientific.net/AMM.347-350.3416

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 347-350Face Detection Methods Applied in ATM Automatic...

Face Detection Methods Applied in ATM Automatic Identification System

Abstract:

Seeing that there are some unsafe factors in the process of ATM using,an ATM automatic identification system with extend functions was developed. As human face features are unique, face detection is added to the ATM as a method of authentication. Since face detection is a primary link of face recognition, our system adopts AdaBoost algorithm which is based on face detection. Experiment results demonstrated that the computing time of face detection using this algorithm is about 70ms, and the single and multiple human faces can be effectively measured under well environment, which meets the demand of the system.

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Periodical:

Applied Mechanics and Materials (Volumes 347-350)

Pages:

3416-3418

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.347-350.3416

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Online since:

August 2013

Authors:

Ming Hui Zhang, Yao Yu Zhang

Keywords:

Adaboost Algorithm, ATM, Automatic Identification, Face Detection

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References

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