Hand geometry recognition: an approach for closed and separated fingers
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Date
2022
Journal Title
Journal ISSN
Volume Title
Publisher
International Journal of Electrical and Computer Engineering (IJECE)
Abstract
Hand geometry has been a biometric trait that has attracted attention from
several researchers. This stems from the fact that it is less intrusive and
could be captured without contact with the acquisition device. Its application
ranges from forensic examination to basic authentication use. However,
restrictions in hand placement have proven to be one of its challenges. Users
are either instructed to keep their fingers separate or closed during capture.
Hence, this paper presents an approach to hand geometry using finger
measurements that considers both closed and separate fingers. The system
starts by cropping out the finger section of the hand and then resizing the
cropped fingers. 20 distances were extracted from each finger in both
separate and closed finger images. A comparison was made between
Manhattan distance and Euclidean distance for features extraction. The
support vector machine (SVM) was used for classification. The result
showed a better result for Euclidean distance with a false acceptance ratio
(FAR) of 0.6 and a false rejection ratio (FRR) of 1.2.
Description
Keywords
Biometrics, Euclidean distance, Hand geometry, Manhattan distance, Support vector machine