Contactless hand detection in complex image based on data-mining process

Jemaa, Salma Ben; Hammami, Mohamed; Ben-Abdallah, Hanêne

doi:10.1109/aiccsa.2013.6616500

Cited by 3 publications

(2 citation statements)

References 3 publications

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“…In this section, we briefly describe our hand detection method which is composed of two steps: (1) data-mining process to construct the adequate prediction model to skin pixel detection and (2) post-processing step to refine the hand detection results and to only conserve the hand region [15], [16].…”

Section: A Hand Detection Methodsmentioning

confidence: 99%

Human Identification Based on the Palmar Surface of the Hand

Jemaa

Hammami

2016

2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)

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In this paper, we investigate a new multimodal biometric approach for personal recognition, based on two different biometrics computed from the same hand image: palmprint and fingerprint surface. The detection of these modalities is conducted with no constraints imposed on the subject. In addition, this approach has the particularity of using a new fusion scheme based on the rank level integration method to consolidate the results obtained from the different biometric instances. Rank level fusion is a relatively new fusion approach. It is not a well-studied research problem, yet it has a high potential for efficient consolidation of multiple unimodal biometric outputs matching. To the best of our knowledge, we present the first application of the rank level fusion to consolidate the rank information produced by the five individual fingerprint surface and the palmprint. The achieved experimental results have shown that the designed system achieves an excellent recognition rate and provides more security than unimodal biometric system.

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Section: A Hand Detection Methodsmentioning

confidence: 99%

Human Identification Based on the Palmar Surface of the Hand

Jemaa

Hammami

2016

2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)

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“…game control [6], character animation [7], etc., or it could be used for secure and safe interactions of humans within real-world environment. Indeed, hand detection could be used in biometrics [8], since palms of the human hands contain unique patterns of ridges and valleys, in the same way that fingerprints, whereas presenting much larger areas and thus being even more distinctive than the fingerprints [9]; in surveillance for abnormal behaviour detection [10] or in crime prevention [11].…”

Section: Introductionmentioning

confidence: 99%

HD: Efficient Hand Detection and Tracking

Rouge

Shaikh

Olszewska

2016

Annals of Computer Science and Information Systems

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Abstract-Automated hand detection is useful for applications requiring reliable hand posture and hand gesture processing. Such applications include human-computer/human-robot interfaces for rehabilitation, serious games, or non-invasive medical diagnosis. Hence, in this paper, we focus on the design and development of a robust and fast hand detection and tracking (HD) system. The design of our HD system involved the study of the human skin colour and people's foreground properties, in order to merge these information for an efficient hand detection and tracking. Experiments have been carried out in real-world environment and have demonstrated the excellent performance of our HD system.

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