Sfax-Miracl Hand Database for Contactless Hand Biometrics Applications

Jemaa, Salma Ben; Frikha, Mayssa; Moalla, Imen; Hammami, Mohamed; Ben-Abdallah, Hanêne

doi:10.1007/978-3-642-31254-0_26

Cited by 7 publications

(3 citation statements)

References 6 publications

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“…Three databases (DBs) are considered in this study, namely, IITD [10], GPDS [11] and Sfax‐Miracl [40]. The IITD and GPDS are commonly used in the literature.…”

Section: Methodsmentioning

confidence: 99%

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Masked SIFT with align‐based refinement for contactless palmprint recognition

et al. 2018

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Contactless palmprint is considered more user convenient than other biometrics due to its acquisition simplicity and less-private nature. Many challenges arise which affect the performance of common contact-based methods when applied to a contactless environment. For example, pose and illumination variations affect the layout and visibility of palm lines. This study proposes a SIFT-based method with three main modifications from the traditional SIFT. First, the palm regions with no significant lines/wrinkles are masked out to reduce the false features. A region with multi-lines is then described by multi-descriptors rather than a single one. Second, only query and target keypoints with small rotation difference are compared together, instead of comparing them all. This speed-up the comparison and enhance the accuracy, versus SIFT, by reducing the wrong matches. Third, an align-based refinement is applied to filter out the incorrect matches. The method is tested on three contactless hand databases; IITD, GPDS and Sfax-Miracl. It achieves a verification equal error rate of 0.72, 0.84 and 1.14% and a correct identification rate of 98.9, 99 and 98.9% on each database, respectively. These results are significantly better than the state-ofart methods on the same databases by 1.9% for verification and 3.2% for identification.

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“…Three databases (DBs) are considered in this study, namely, IITD [10], GPDS [11] and Sfax‐Miracl [40]. The IITD and GPDS are commonly used in the literature.…”

Section: Methodsmentioning

confidence: 99%

“…In this paper, two out of the three used DBs, IITD [10] and GPDS [11], already provide the palm ROI. For the Sfax‐Miracl [40], the method in [7] is used to extract the palm ROI. It takes the hand mask image as an input and passes it through six steps as shown in Fig.…”

Section: Preprocessingmentioning

confidence: 99%

Masked SIFT with align‐based refinement for contactless palmprint recognition

et al. 2018

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“…The data-mining process for skin detection requires a representative training dataset and test dataset. For this, we build a database named 'Sfax-Miracl hand database' [23]. This database contains a total of 1080 images captured from 108 different hands in the same session.…”

Section: A Construction Of Training Dataset and Test Datasetmentioning

confidence: 99%