Springer Science and Business Media LLC

Công bố khoa học tiêu biểu

* Dữ liệu chỉ mang tính chất tham khảo

Sắp xếp:  
Hermite and Gabor transforms for noise reduction and handwriting classification in ancient manuscripts
Springer Science and Business Media LLC - Tập 9 - Trang 101-122 - 2007
Véronique Eglin, Stéphane Bres, Carlos Rivero
In this paper, we propose a biologically inspired, global and segmentation free methodology for manuscript noise reduction and classification. Our method consists of developing well-adapted tools for writing enhancement, background noise, text and drawing separation and handwritten patterns characterization with orientation features. We have used here analysis of handwritten images in the spectral... hiện toàn bộ
Rotation invariant hand-drawn symbol recognition based on a dynamic time warping model
Springer Science and Business Media LLC - - 2010
Alícia Fornés, Josep Lladós, Gemma Sánchez, Dìmosthenis Karatzas
Frontiers in Handwriting Recognition
Springer Science and Business Media LLC - Tập 2 - Trang 1-1 - 1999
Seong-Whan Lee
Comic MTL: tối ưu hóa học tập đa nhiệm cho phân tích hình ảnh truyện tranh Dịch bởi AI
Springer Science and Business Media LLC - Tập 22 - Trang 265-284 - 2019
Nhu-Van Nguyen, Christophe Rigaud, Jean-Christophe Burie
Phương pháp phân tích hình ảnh truyện tranh thường đề xuất nhiều thuật toán hoặc mô hình cho nhiều nhiệm vụ khác nhau như phát hiện bảng truyện, nhân vật (cơ thể và khuôn mặt), phân đoạn khung thoại, nhận diện văn bản, v.v. Trong nghiên cứu này, chúng tôi nhằm mục đích giảm thời gian xử lý cho phân tích hình ảnh truyện tranh bằng cách đề xuất một mô hình có khả năng học nhiều nhiệm vụ, được gọi là... hiện toàn bộ
#phân tích hình ảnh truyện tranh #học đa nhiệm #phát hiện nhân vật #phân đoạn khung thoại #mối quan hệ giữa nhân vật và khung thoại
Fully convolutional network with dilated convolutions for handwritten text line segmentation
Springer Science and Business Media LLC - Tập 21 - Trang 177-186 - 2018
Guillaume Renton, Yann Soullard, Clément Chatelain, Sébastien Adam, Christopher Kermorvant, Thierry Paquet
We present a learning-based method for handwritten text line segmentation in document images. Our approach relies on a variant of deep fully convolutional networks (FCNs) with dilated convolutions. Dilated convolutions allow to never reduce the input resolution and produce a pixel-level labeling. The FCN is trained to identify X-height labeling as text line representation, which has many advantage... hiện toàn bộ
On writer identification for Arabic historical manuscripts
Springer Science and Business Media LLC - - 2017
Abedelkadir Asi, Alaa Abdalhaleem, Daniel Fecker, Volker Märgner, Jihad El-Sana
Linear-quadratic blind source separating structure for removing show-through in scanned documents
Springer Science and Business Media LLC - Tập 14 - Trang 319-333 - 2010
Farnood Merrikh-Bayat, Massoud Babaie-Zadeh, Christian Jutten
Digital documents are usually degraded during the scanning process due to the contents of the backside of the scanned manuscript. This is often caused by the show-through effect, i.e. the backside image that interferes with the main front side picture due to the intrinsic transparency of the paper. This phenomenon is one of the degradations that one would like to remove especially in the field of ... hiện toàn bộ
Large-scale genealogical information extraction from handwritten Quebec parish records
Springer Science and Business Media LLC - Tập 26 - Trang 255-272 - 2023
Solène Tarride, Martin Maarand, Mélodie Boillet, James McGrath, Eugénie Capel, Hélène Vézina, Christopher Kermorvant
This paper presents a complete workflow designed for extracting information from Quebec handwritten parish registers. The acts in these documents contain individual and family information highly valuable for genetic, demographic and social studies of the Quebec population. From an image of parish records, our workflow is able to identify the acts and extract personal information. The workflow is d... hiện toàn bộ
A general framework for the recognition of online handwritten graphics
Springer Science and Business Media LLC - Tập 23 - Trang 143-160 - 2020
Frank Julca-Aguilar, Harold Mouchère, Christian Viard-Gaudin, Nina S. T. Hirata
We revisit graph grammar and graph parsing as tools for recognizing graphics. A top-down approach for parsing families of handwritten graphics containing different kinds of symbols and of structural relations is proposed. It has been tested on two distinct domains, namely the recognition of handwritten mathematical expressions and of handwritten flowcharts. In the proposed approach, a graphic is c... hiện toàn bộ
On the improvement of handwritten text line recognition with octave convolutional recurrent neural networks
Springer Science and Business Media LLC - - 2024
Dayvid Castro, Cleber Zanchettin, Luís A. Nunes Amaral
Off-line handwritten text recognition (HTR) poses a significant challenge due to the complexities of variable handwriting styles, background degradation, and unconstrained word sequences. This work tackles the handwritten text line recognition problem using octave convolutional recurrent neural networks (OctCRNN). Our approach requires no word segmentation, preprocessing, or explicit feature extra... hiện toàn bộ
Tổng số: 399   
  • 1
  • 2
  • 3
  • 4
  • 5
  • 6
  • 10