Handwritten and Printed Text Segmentation: A Signature Case Study
S Gholamian, A Vahdat - Proceedings of the IEEE/CVF …, 2023 - openaccess.thecvf.com
While analyzing scanned documents, handwritten text can overlap with printed text. This
overlap causes difficulties during the optical character recognition (OCR) and digitization …
overlap causes difficulties during the optical character recognition (OCR) and digitization …
Handwritten text segmentation via end-to-end learning of convolutional neural networks
We present a method that separates handwritten and machine-printed components that are
mixed and overlapped in documents. Many conventional methods addressed this problem …
mixed and overlapped in documents. Many conventional methods addressed this problem …
[PDF][PDF] Software for simulation
J Banks - Proceedings of the 25th conference on Winter …, 1993 - dl.acm.org
Software for simulation Page 1 Proceedings of the 1993 Winter Simulation Conference GW
Evans, M. Mollaghasemi, EC Russell, WE Biles (eds.) SOFTWARE FOR SIMULATION Jerry …
Evans, M. Mollaghasemi, EC Russell, WE Biles (eds.) SOFTWARE FOR SIMULATION Jerry …
Handwritten and printed text separation in real document
A Belaïd, KC Santosh, VP d'Andecy - arXiv preprint arXiv:1303.4614, 2013 - arxiv.org
The aim of the paper is to separate handwritten and printed text from a real document
embedded with noise, graphics including annotations. Relying on run-length smoothing …
embedded with noise, graphics including annotations. Relying on run-length smoothing …
Text classification and document layout analysis of paper fragments
In general document image analysis methods are pre-processing steps for Optical Character
Recognition (OCR) systems. In contrast, the proposed method aims at clustering document …
Recognition (OCR) systems. In contrast, the proposed method aims at clustering document …
Structural handwritten and machine print classification for sparse content and arbitrary oriented document fragments
Discriminating handwritten and printed text is a challenging task in an arbitrary orientation
scenario. The task gets even tougher when the text content is by nature sparse in the …
scenario. The task gets even tougher when the text content is by nature sparse in the …
Handwritten and printed word identification using gray-scale feature vector and decision tree classifier
Document image analysis is one of the important steps towards a paper free world. An
effective Optical Character Recognition (OCR) system would be helpful for achieving this fit …
effective Optical Character Recognition (OCR) system would be helpful for achieving this fit …
Handwritten and typewritten text identification and recognition using hidden Markov models
We present a system for identification and recognition of handwritten and typewritten text
from document images using hidden Markov models (HMMs) in this paper. Our text type …
from document images using hidden Markov models (HMMs) in this paper. Our text type …
Machine printed handwritten text discrimination using Radon transform and SVM classifier
ETT Zemouri, Y Chibani - 2011 11th International Conference …, 2011 - ieeexplore.ieee.org
Discrimination of machine printed and handwritten text is deemed as major problem in the
recognition of the mixed texts. In this paper, we address the problem of identifying each type …
recognition of the mixed texts. In this paper, we address the problem of identifying each type …
Design and implementation of a menu based oscar command line interface
The open source cluster application resources (OSCAR) toolkit is used to build and maintain
HPC clusters. The OSCAR cluster installer provides a graphical user interface (GUI)" wizard" …
HPC clusters. The OSCAR cluster installer provides a graphical user interface (GUI)" wizard" …