Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Fei Yin"'
Publikováno v:
ICPR
Offline signature verification, to determine whether a handwritten signature image is genuine or forged for a claimed identity, is needed in many applications. How to extract salient features and how to calculate similarity scores are the major issue
Publikováno v:
2019 International Conference on Document Analysis and Recognition (ICDAR)
2019 International Conference on Document Analysis and Recognition (ICDAR), Sep 2019, Sydney, Australia. pp.514-519, ⟨10.1109/ICDAR.2019.00088⟩
ICDAR
2019 International Conference on Document Analysis and Recognition (ICDAR), Sep 2019, Sydney, Australia. pp.514-519, ⟨10.1109/ICDAR.2019.00088⟩
ICDAR
Segmentation of complex document images remains a challenge due to the large variability of layout and image degradation. In this paper, we propose a method to segment complex document images based on Label Pyramid Network (LPN) and Deep Watershed Tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb3b6e376db3e8b76facbd3e31adb47b
https://hal.archives-ouvertes.fr/hal-03030202
https://hal.archives-ouvertes.fr/hal-03030202
Publikováno v:
ICPR
Convolutional Neural Network (CNN) based scene text detection methods mostly employ the semantic segmentation (text/non-text classification) task to localize the regions of texts. However, they cannot distinguish different text-lines like instance se
Publikováno v:
ICPR
Page object detection in document images remains a challenge because the page objects are diverse in scale and aspect ratio, and an object may contain largely apart components. In this paper, we propose a hybrid method combining deep structured predi
Publikováno v:
ICDAR
Maximally stable extremal region (MSER) is popularly used for candidate character candidate extraction in scene text detection. Its requirement of maximum stability hinders high performance on images of high variability. In this paper, we propose a n
Publikováno v:
ICDAR
The Long Short-Term Memory Recurrent Neural Network (LSTM-RNN) has been demonstrated successful in handwritten text recognition of Western and Arabic scripts. It is totally segmentation free and can be trained directly from text line images. However,
Autor:
Nibal Nayef, Yuan Feng, Cheng-Lin Liu, Fei Yin, Umapada Pal, Joseph Chazalon, Zhenbo Luo, Dimosthenis Karatzas, Muhammad Muzzamil Luqman, Christophe Rigaud, Imen Bizid, Jean-Marc Ogier, Jean-Christophe Burie, Wafa Khlif, Hyun-Soo Choi
Publikováno v:
ICDAR
2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR)
2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), Nov 2017, Kyoto, Japan. pp.1454-1459, ⟨10.1109/ICDAR.2017.237⟩
2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR)
2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), Nov 2017, Kyoto, Japan. pp.1454-1459, ⟨10.1109/ICDAR.2017.237⟩
Text detection and recognition in a natural environment are key components of many applications, ranging from business card digitization to shop indexation in a street. This competition aims at assessing the ability of state-of-the-art methods to det
Publikováno v:
ICDAR
Page segmentation is a fundamental and challenging task in document image analysis due to the layout diversity. In this work, we propose a pixel-wise segmentation method for historical handwritten documents using fully convolutional network (FCN). Th
Publikováno v:
IET Computer Vision. 9:354-367
This study contributes in two ways to the research of multi-camera object tracking in the context of visual surveillance. Firstly, a semi-automatic scene calibration method is proposed to deal with mapping a network of cameras with overlapped fields
Publikováno v:
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
instname
Many man-made environments are constructed with multiple levels where people walk, joined by stairs, ramps and overpasses. This study proposes a novel method to learn the geometry of a scene containing more than a single ground plane by tracking pede