Reader-writer locks (rwlocks) aim to maximize parallelism among readers, but many existing rwlocks either cause readers to contend, or significantly extend writer latency, or both. Further, some scalable rwlocks cannot cope with OS semantics like sleeping inside critical sections, preemption and conditional wait. Though truly scalable rwlocks exist, some of them cannot handle preemption, sleepi...

In this paper, we show that both the writer identification and the writer verification tasks can be carried out using local features such as graphemes extracted from the segmentation of cursive handwriting. We thus enlarge the scope of the possible use of these two tasks which have been, up to now, mainly evaluated on script handwritings. A textual based Information Retrieval model is used for ...

Bloom's construction of a two-writer atomic register from two one-writer atomic registers is speciied and veriied by means of ghost variables and invariants. Preservation of the invariants is proved with a mechanical theorem prover.

Writer identification still remains as a challenge area in the field of off-line handwriting recognition because only an image of the handwriting is available. Consequently, some information on the dynamic of writing, which is valuable for identification of writer, is unavailable in the off-line approaches, contrary to the on-line ones where temporal and spatial information about the writing ar...

In this chapter, we propose a novel junction detection method in handwritten images, which uses the stroke-length distribution in every direction around a reference point inside the ink of texts. Our proposed junction detection method is simple and efficient, and yields a junction feature in a natural manner, which can be considered as a local descriptor. We apply our proposed junction detector...

With this presentation, we want to introduce the recently started TRIGRAPH project. The aim of this project is to develop techniques that can be used for forensic writer identification, using recent advances in pattern recognition and image processing, new insights in automatically derived handwriting features, user interface development, and innovations in forensic writer identification system...

In this chapter, we propose a novel junction detection method in handwritten images, which uses the stroke-length distribution in every direction around a reference point inside the ink of texts. Our proposed junction detection method is simple and efficient, and yields a junction feature in a natural manner, which can be considered as a local descriptor. We apply our proposed junction detector...

Chinese handwriting identification has become a hot research in pattern recognition and image processing. In this paper, we present overview of relevant papers from the previous related studies until to the recent publications regarding to the Chinese Handwriting Identification. The strength, weaknesses, accurateness and comparison of well known approaches are reviewed, summarized and documente...

In this chapter, we propose a novel junction detection method in handwritten images, which uses the stroke-length distribution in every direction around a reference point inside the ink of texts. Our proposed junction detection method is simple and efficient, and yields a junction feature in a natural manner, which can be considered as a local descriptor. We apply our proposed junction detector...