The Pen Technologies group at IBM Research has recently been investigating methods for retrieving handwritten documents based on user queries. This paper investigates the use of typed and handwritten queries to retrieve relevant handwritten documents. The IBM handwriting recognition engine was used to generate N-best lists for the words in each of 108 short documents. These N-best lists are con...

Script identification is one of the preprocessing steps in any document image processing task. Script identification in printed documents has achieved a greater attention whereas script identification in handwritten documents has achieved less attention from document research community. Almost all the existing works have made attempts on identifying suitable features or classifiers for handwrit...

In spite of various applications digit, letter and word recognition, only a few studies have dealt with Persian scripts. this paper, deep neural networks are utilized through different DenseNet Xception architectures, being further boosted by means data augmentation test time augmentation. Dividing the datasets to training, validation sets, utilizing k-fold cross-validation, comparison proposed...

In this article, two different strategies are proposed for numerical field extraction in weakly constrained handwritten documents. The first extends classical handwriting recognition methods, while the second is inspired from approaches usually chosen in the field of information extraction from electronic documents. The models and the implementation of these two opposed strategies are described...

Handwritten Signature Verification (HSV) is a natural and trusted method for user identity verification. HSV can be classified into two main categories: offline and online HSV. Offline systems take handwritten signatures from scanned documents, while online systems use specific hardware (e.g., pen tablets) to register pen movements during the act of signing. Online HSV systems may embed signatu...

This paper will emphasize the necessity of having alternative man-machine interfaces to the already established keyboard and mouse, speciically for people residing in developing countries. An on-line system is presented for recognizing handwritten Farsi (Persian) and Arabic digits. This recognition scheme is based on statistical techniques which will be brieey explained. Then, the grounds will ...

Curvilinear text line detection and segmentation in handwritten documents is a significant challenge for handwriting recognition. Given no prior knowledge of script, we model text line detection as an image segmentation problem by enhancing text line structure using a Gaussian window, and adopting the level set method to evolve text line boundaries. Experiments show that the proposed method ach...