Bulent Sankur

The biosecure geometry-based system for hand modality

By Geoffroy Fouquier, Laurence Likforman, Jérôme Darbon, Bulent Sankur

2006-12-18

In Proceedings of the 32nd IEEE international conference on acoustics, speech, and signal processing (ICASSP)

Abstract

We present an identification and authentification system based on hand modality which is part of a reference system for all modalities developed within the Biosecure consortium. It relies on simple geometric features extracted from hand boundary. The different steps of this system are detailed, namely: pre-processing, feature extraction and hand matching. This system has been tested on the Biosecure hand database which consists of 4500 hand images of 750 individuals. Results are detailed with respect to different enrolment conditions such as population size, enrolment size, and image resolution.

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Person authentication based on hand shape

By Erdem Yoruk, Ender Konukoglu, Bulent Sankur, Jérôme Darbon

2004-09-01

In Proceedings of 12th european signal processing conference (EUSIPCO)

Abstract

The problem of person identification based on their hand images has been addressed. The system is based on the images of the right hands of the subjects, captured by a flatbed scanner in an unconstrained pose. In a preprocessing stage of the algorithm, the silhouettes of hand images are registered to a fixed pose, which involves both rotation and translation of the hand and, separately, of the individual fingers. Independent component features of the hand silhouette images are used for recognition. The classification performance is found to be very satisfactory and it was shown that, at least for groups of one hundred subjects, hand-based recognition is a viable secure access control scheme.

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Error correcting code performance for watermark protection

By Jérôme Darbon, Bulent Sankur, Henri Maître

2001-01-01

In Proceedings of the 13th symposium SPIE on electronic imaging—-security and watermarking of multimedia contents III (EI27)

Abstract

The watermark signals are weakly inserted in images due to imperceptibility constraints which makes them prone to errors in the extraction stage. Although the error correcting codes can potentially improve their performance one must pay attention to the fact that the watermarking channel is in general very noisy. We have considered the trade-off of the BCH codes and repetition codes in various concatenation modes. At the higher rates that can be encountered in watermarking channels such as due to low-quality JPEG compression, codes like the BCH codes cease being useful. Repetition coding seems to be the last resort at these error rates of 25% and beyond. It has been observed that there is a zone of bit error rate where their concatenation turns out to be more useful. In fact the concatenation of repetition and BCH codes judiciously dimensioned, given the available number of insertion sites and the payload size, achieves a higher reliability level.

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