ICFHR 2018 Competition on Multi-Script Writer Identification
International Conference on Frontiers in Handwriting Recognition, 2018This paper describes the ICFHR 2018 Competition on Multi-script Writer Identification with details on the competition tasks, databases employed, submitted systems, evaluation protocol and the reported results.
Chawki Djeddi +5 more
semanticscholar +1 more source
Advanced Energy Management Systems (EMS) are required to control intermittency and complexity of operations as solar and wind power are increasingly penetrating hybrid microgrids (HMGs).
P. K, Balachennaiah Pagidi
semanticscholar +1 more source
Word-Level Multi-Script Indic Document Image Dataset and Baseline Results on Script Identification
International Journal of Computer Vision and Image Processing, 2017Document analysis research starves from the availability of public datasets. Without publicly available dataset, one cannot make fair comparison with the state-of-the-art methods.
S. Obaidullah +4 more
semanticscholar +1 more source
Data Driven Feature Extraction for Gender Classification using Multi-Script Handwritten Texts
International Conference on Frontiers in Handwriting Recognition, 2018This paper presents a study on assessing the effectiveness of machine learned features to predict gender of writers from images of handwriting. Pre-trained Convolutional Neural Networks have been employed as feature extractors to discriminate male and ...
Momina Moetesum +4 more
semanticscholar +1 more source
A generalized line segmentation method for multi-script handwritten text documents
Expert systems with applications, 2022Payel Rakshit +3 more
semanticscholar +1 more source
Benchmarking Automatic Multi-script Scene Component Transcription for AUTNT Dataset
Sensing and Imaging, 2021Rahamatulla, A. Mollah
semanticscholar +1 more source
Script identification of ancient books by Chinese ethnic minorities using multi-branch DCNN and SPP
Pattern Analysis and Applications, 2023Hai Guo +3 more
semanticscholar +1 more source
Automated Movie Generation via Multi-Agent CoT Planning
arXiv.orgExisting long-form video generation frameworks lack automated planning, requiring manual input for storylines, scenes, cinematography, and character interactions, resulting in high costs and inefficiencies.
Weijia Wu, Zeyu Zhu, Mike Zheng Shou
semanticscholar +1 more source
Residual attention-based multi-scale script identification in scene text images
Neurocomputing, 2021Qiu-Feng Wang +2 more
exaly
Multi-task learning for simultaneous script identification and keyword spotting in document images
Pattern Recognition, 2021Yousri Kessentini, Slim Kanoun
exaly