Writer-adaptation is the process of converting a writer-independent handwriting recognition system, which models the characteristics of a large group of writers, into a writer-dependent system, which is tuned for a particular writer. Adaptation has the potential of increasing recognition accuracies, provided adequate models can be constructed for a particular writer. The limited amount of data ...

A new writer adaption method based on incremental linear discriminant analysis (ILDA) is presented in this paper. We first provide a more general solution for ILDA and then present a Weighted ILDA (WILDA) approach. Based on ILDA or WILDA, the writer adaptation is performed by updating the LDA transformation matrix and the classifier prototypes in the discriminative feature space. Experimental r...

This paper presents a survey of the literature on writer identification schemes and techniques up till date. The paper outlines an overview of the writer identification schemes mainly in Chinese, English, Arabic and Persian languages. Taxonomy of different features adopted for online and offline writer identification schemes is also drawn at. The feature extraction methods adopted for the schem...

Security for costs and security for claim are interim protective measures available during an arbitration. They are sought when one side is concerned that the other side may not have enough money to pay an adverse costs order or satisfy an award made against it. They require the party against whom they are ordered to set aside a sum of money to satisfy any eventual award or costs order. In theo...

Single-writer k-quorum protocols achieve high availability without incurring the risk of read operations returning arbitrarily stale values: in particular, they guarantee that, even in the presence of an adversarial scheduler, any read operation will return the value written by one of the last k writes. In this paper, we expand our understanding of k-quorums in two directions: first, we present...

The reader-writer problem [1] seeks to provide a lock that protects some critical section of code for two classes of processes: readers and writers. Multiple readers can have access to the critical section simultaneously, but only one writer can have access to the critical section to the exclusion of all other processes. The difficulties in solving the reader-writer problem lie not only in deve...

Writer recognition based on a small amount of handwritten text is one the most challenging deep learning problems because implicit characteristics handwriting styles. In convolutional neural network, writer supervised has shown great success. These methods typically require lot annotated data. However, collecting data expensive. Although unsupervised may address annotation issues significantly,...