Writer identification (writer-id), an important field in biometrics, aims to identify a writer by their handwriting. Identification existing writer-id studies requires complete document or text, limiting the scalability and flexibility of realistic applications. To make application more practical (e.g., on mobile devices), we focus novel problem, letter-level online writer-id, which only few tr...

Writer adaptation or specialization is the adjustment of handwriting recognition algorithms to a specific writer’s style of handwriting. Such adjustment yields significantly improved recognition rates over counterpart general recognition algorithms. We present a discussion of a method of prototype integration for writer adaptation and evaluate the results on English and Arabic datasets. The wri...

In this paper we present NPen ++, a connectionist system for writer independent, large vocabulary on-line cursive handwriting recognition. This system combines a robust input representation, which preserves the dynamic writing information, with a neural network architecture, a so called Multi-State Time Delay Neural Network (MS-TDNN), which integrates rec.ognition and segmentation in a single f...

Handwriting analysis is a method to predict personality of an author and to better understand the writer. Allograph and allograph combination analysis is a scientific method of writer identification and evaluating the behavior. To make this computerized we considered six main different types of features: (i) size of letters, (ii) slant of letters and words, (iii) baseline, (iv) pen pressure, (v...

In this paper,we propose a new approach for writer identification of Chinese handwritten.In our method, we deal with writer identification of Chinese handwritten using Chinese character structure features(CSF) and extreme learning machine(ELM).To extract the features embedded in Chinese handwriting characters, special structures have been explored according to the trait of Chinese handwriting c...