Recent developments in recognition of cursive scripts rely on implicit feature extraction
methods that provide better results as compared to traditional hand-crafted feature extraction …

Automatic handwriting recognition systems are of interest for academic research fields and
for commercial applications. Recent advances in deep learning techniques have shown …

This paper presents the results of the HDSRC 2014 competition on handwritten digit string
recognition in challenging datasets organized in conjunction with ICFHR 2014. The general …

String recognition is one of the challenging tasks in document analysis and recognition
areas. Recently, with the surge of interest in end-to-end segmentation-free methods, CRNN …

Recognition of isolated handwritten digits is a well-studied research problem and several
models show high recognition accuracy on different standard datasets. But the same is not …

В статье показана актуальность задачи преобразования в текстовой формат
элементов изображений, содержащих последовательности машинописных цифр. На …

The similar nature of patterns may enhance the learning if the experience they attained
during training is utilized to achieve maximum accuracy. This paper presents a novel way to …

Abstract Optical Character Recognition of handwritten document has been a research topic
for last few decades now. Different type of classification schemes starting from template …

The main purpose of this thesis is to build a reliable method for the recognition of
handwritten digit strings. In order to accomplish the recognition task, first, the digit string is …

This paper proposes the combination of preprocessing and handwriting recognition
approaches aiming to develop a flexible and assistive mobile tool to help visually impaired …