


default search action
ASAR 2017: Nancy, France
- 1st International Workshop on Arabic Script Analysis and Recognition, ASAR 2017, Nancy, France, April 3-5, 2017. IEEE 2017, ISBN 978-1-5090-6628-5
- Andrei A. Boiarov
, Alexander Senov, Alexander Knysh:
Arabic manuscript author verification using deep convolutional networks. 1-5 - Liren Chen, Ruijie Yan, Liangrui Peng, Akio Furuhata, Xiaoqing Ding:
Multi-layer recurrent neural network based offline Arabic handwriting recognition. 6-10 - Majeed Kassis, Alaa Abdalhaleem, Ahmad Droby, Reem Alaasam, Jihad El-Sana:
VML-HD: The historical Arabic documents dataset for recognition systems. 11-14 - Usman Shahzad, Khurram Khurshid:
Oriental-script text detection and extraction in videos. 15-20 - Zineb Hadjadj, Abdelkrim Meziane:
Binarization of document images with various object sizes. 21-25 - Mohit Jain, Minesh Mathew, C. V. Jawahar:
Unconstrained scene text and video text recognition for Arabic script. 26-30 - Mohammed Faouzi Ben Zeghiba:
Arabic word decomposition techniques for offline Arabic text transcription. 31-35 - Ahmad Montaser Awal, Abdel Belaïd:
Neighborhood label extension for handwritten/printed text separation in Arabic documents. 36-40 - Hashem Ghaleb, P. Nagabhushan, Umapada Pal:
Segmentation of offline handwritten Arabic text. 41-45 - Saad Bin Ahmed, Saeeda Naz, Muhammad Imran Razzak
, Rubiyah Yousaf:
Deep learning based isolated Arabic scene character recognition. 46-51 - Catherine Taleb
, Maha Khachab, Chafic Mokbel, Laurence Likforman-Sulem:
Feature selection for an improved Parkinson's disease identification based on handwriting. 52-56 - Tayyeba Faisal
, Somaya Al-Máadeed:
Enabling indexing and retrieval of historical Arabic manuscripts through template matching based word spotting. 57-63 - Alaa Abdalhaleem, Ahmed Droby, Abedelkadir Asi, Majeed Kassis, Reem Al Asam, Jihad El-Sana:
WAHD: A database for writer identification of Arabic historical documents. 64-68 - Zouhaira Noubigh, Monji Kherallah:
A survey on handwriting recognition based on the trajectory recovery technique. 69-73 - Edgard Chammas, Laurence Likforman-Sulem, Chafic Mokbel:
Stroke width exploitation to improve automatic recognition of Arabic handwritten texts. 74-78 - Hanadi Hassen, Somaya Al-Máadeed:
Arabic handwriting recognition using sequential minimal optimization. 79-84 - Afef Kacem Echi
, Abdel Belaïd:
Impact of features and classifiers combinations on the performances of Arabic recognition systems. 85-89 - Kawther Khazri Ayeb, Afef Kacem Echi
, Abdel Belaïd:
Arabic/Latin and handwritten/machine-printed formula classification and recognition. 90-94 - Kalthoum Adam, Somaya Al-Máadeed, Ahmed Bouridane:
Letter-based classification of Arabic scripts style in ancient Arabic manuscripts: Preliminary results. 95-98 - Raid Saabni:
Boosting feature based classifiers for writer identification. 99-103 - Nabil Ghanmi, Ahmad Montaser Awal, Nihel Kooli:
Dynamic Bayesian networks for handwritten Arabic word recognition. 104-108 - Samia Snoussi, Yosra Wahabi:
Arabic document segmentation on a smartphone towards big data HAJJ rules extraction. 109-113 - Abdulaziz M. Alayba
, Vasile Palade, Matthew England
, Rahat Iqbal
:
Arabic language sentiment analysis on health services. 114-118 - Stephen Rawls, Huaigu Cao, Ekraam Sabir, Prem Natarajan:
Combining deep learning and language modeling for segmentation-free OCR from raw pixels. 119-123 - Reem Alaasam, Berat Kurar Barakat
, Majeed Kassis, Jihad El-Sana:
Experiment study on utilizing convolutional neural networks to recognize historical Arabic handwritten text. 124-128 - Qurat ul Ain Akram, Sarmad Hussain:
Ligature-based font size independent OCR for Noori Nastalique writing style. 129-133 - Mohamed Meddeb, Hichem Karray, Adel M. Alimi
:
Building and analysing emotion corpus of the Arabic speech. 134-139 - Maroua Tounsi, Ikram Moalla, Adel M. Alimi
:
ARASTI: A database for Arabic scene text recognition. 140-144 - Makki Maliki, Naseer Al-Jawad
, Sabah Jassim:
Off line writer identification for Arabic language: Analysis and classification techniques using subwords features. 145-152 - Hanen Akouaydi, Slim Abdelhedi, Sourour Njah, Mourad Zaied, Adel M. Alimi
:
Decision trees based on perceptual codes for on-line Arabic character recognition. 153-157 - Ido Kissos, Nachum Dershowitz:
Image and text correction using language models. 158-162 - Seiya Iwata, Wataru Ohyama
, Tetsushi Wakabayashi, Fumitaka Kimura:
Recognition and connection of moving captions in Arabic TV news. 163-167 - Riaz Ahmad, Muhammad Zeshan Afzal, Sheikh Faisal Rashid, Marcus Liwicki, Andreas Dengel:
Text-line segmentation of large titles and headings in Arabic like script. 168-172

manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.