Santos Sierra, Alberto de and Sánchez Ávila, Carmen and Guerra Casanova, Javier and Bailador del Pozo, Gonzalo
Hand Image Segmentation by means of Gaussian Multiscale Aggregation for biometric applications.
In: "International Conference on Signal Processing and Multimedia Applications (SIGMAP) 2011", 18/07/2011 - 21/07/2011, Sevilla, España.
Applying biometrics to daily scenarios involves demanding requirements in terms of software and hardware. On the contrary, current biometric techniques are also being adapted to present-day devices, like mobile phones, laptops and the like, which are far from meeting the previous stated requirements. In fact, achieving a combination of both necessities is one of the most difﬁcult problems at present in biometrics. Therefore, this paper presents a segmentation algorithm able to provide suitable solutions in terms of precision for hand biometric recognition, considering a wide range of backgrounds like carpets, glass, grass, mud, pavement, plastic, tiles or wood. Results highlight that segmentation accuracy is carried out with high rates of precision (F-measure 88%)), presenting competitive time results when compared to state-of-the-art segmentation algorithms time performance