Results 51 to 60 of about 35,970 (157)

Segmentation of Handwritten Document Images into Text Lines [PDF]

, 2011
There are many governmental, cultural, commercial and educational organizations that manage large number of manuscript textual information. Since the management of information recorded on paper or scanned documents is a hard and time-consuming task, Document Image Analysis (DIA) aims to extract the intended information as a human would (Nagy, 2000 ...
Vassilis Katsouros, Vassilis Papavassiliou   +1 more
openaire   +1 more source

A Multi-Agent Approach to Segment Arabic Handwritten Text Lines

International Journal of Cognitive Informatics and Natural Intelligence, 2020
In text line segmentation, there are three classes of methods: either by sorting physical units such as pixels or connected components (CC) constituting a line or by searching for the baseline of each word and grouping together those who participate in the same line. The third class analyzes the separation locations between the lines. After an overview
Mohsine Elkhayati, Youssfi Elkettani, Mohammed Mourchid   +2 more
openaire   +2 more sources

Character recognition system for pegon typed manuscript

Heliyon
The Pegon script is an Arabic-based writing system used for Javanese, Sundanese, Madurese, and Indonesian languages. Due to various reasons, this script is now mainly found among collectors and private Islamic boarding schools (pesantren), creating a ...
Yova Ruldeviyani, Heru Suhartanto, Beltsazar Anugrah Sotardodo, Muhammad Hanif Fahreza, Andre Septiano, Muhammad Febrian Rachmadi   +5 more
doaj   +1 more source

Text segmentation in degraded historical document images

Egyptian Informatics Journal, 2016
Text segmentation from degraded Historical Indus script images helps Optical Character Recognizer (OCR) to achieve good recognition rates for Hindus scripts; however, it is challenging due to complex background in such images. In this paper, we present a
A.S. Kavitha, P. Shivakumara, G.H. Kumar, Tong Lu   +3 more
doaj   +1 more source

Seam carving-based Arabic handwritten sub-word segmentation

Cogent Engineering, 2020
Collecting, archiving, and analyzing handwritten documents are still indispensable acts as people continue to use paper documents. In addition, these archives are an endless source of information.
Lamia Berriche, Abeer Al-Mutairy
doaj   +1 more source

A New Level-Set-Based Protocol for Accurate Bone Segmentation From CT Imaging

IEEE Access, 2015
A new medical image segmentation pipeline for accurate bone segmentation from computed tomography (CT) imaging is proposed in this paper. It is a two-step methodology, with a pre-segmentation step and a segmentation refinement step, as follows.
Manuel Pinheiro, J. L. Alves
doaj   +1 more source

Detection of Text Lines of Handwritten Arabic Manuscripts using Markov Decision Processes

International Journal of Interactive Multimedia and Artificial Intelligence, 2016
In a character recognition systems, the segmentation phase is critical since the accuracy of the recognition depend strongly on it. In this paper we present an approach based on Markov Decision Processes to extract text lines from binary images of Arabic
Youssef Boulid, Abdelghani Souhar, Mohamed Elyoussfi Elkettani   +2 more
doaj   +1 more source

Convolutional Regression Network for Multi-Oriented Text Detection

IEEE Access, 2019
Multi-oriented text detection in the wild is a challenging task due to the variations of scales, orientations, illumination, and languages. The traditional anchor mechanism on generic object detection can only generate horizontal proposals, which cannot ...
Junyu Gao, Qi Wang, Yuan Yuan
doaj   +1 more source

Ancient book text detection algorithm based on a differentiable binarization network for intangible cultural heritage protection

Discover Artificial Intelligence
With the advancement of modernization, the protection of intangible cultural heritage is facing unprecedented challenges. Due to the aging material and long age of ancient texts, they face problems such as weathering and blurred handwriting. Consequently,
Fang Wang, Jongho Lee
doaj   +1 more source

DOCUMENT TEXT DETECTION IN VIDEO FRAMES ACQUIRED BY A SMARTPHONE BASED ON LINE SEGMENT DETECTOR AND DBSCAN CLUSTERING [PDF]

Journal of Engineering Science and Technology, 2018
Automatic document text detection in video is an important task and a prerequisite for video retrieval, annotation, recognition, indexing and content analysis.
HASSAN EL BAHI, ABDELKARIM ZATNI
doaj