Results 21 to 30 of about 535 (158)
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
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 +2 more
doaj +1 more source
Projection–Based Text Line Segmentation with a Variable Threshold
International Journal of Applied Mathematics and Computer Science, 2017 Document image segmentation into text lines is one of the stages in unconstrained handwritten document recognition. This paper presents a new algorithm for text line separation in handwriting.
Ptak Roman +2 more
doaj +1 more source
A Proposed Arabic Handwritten Text Normalization Method
Journal of ICT Research and Applications, 2014 Text normalization is an important technique in document image analysis and recognition. It consists of many preprocessing stages, which include slope correction, text padding, skew correction, and straight the writing line.
Tarik Abu-Ain +5 more
doaj +1 more source
Extraction of Text Lines from Handwritten Documents Using Piecewise Water Flow Technique
Journal of Intelligent Systems, 2014 A novel piecewise water flow technique for text line extraction from multi-skewed document images of handwritten text of different scripts is presented here.
Sarkar Ram +4 more
doaj +1 more source
On‐Chip Photonic Neural Network Architectures
Advanced Optical Materials, EarlyView.This review presents a comprehensive overview of on‐chip photonic neural network architectures, covering key photonic building blocks, representative network types, and emerging applications. Recent advances, implementation challenges, and future directions are examined, highlighting the potential of integrated photonics to enable ultrafast, energy ...
Seokjin Hong +7 more
wiley +1 more source
Exact Discrete Stochastic Simulation With Deep‐Learning‐Scale Gradient Optimization
Advanced Science, EarlyView.A 203,796‐parameter gene regulatory network classifies handwritten digits with 98.4% accuracy using exact stochastic dynamics. The framework decouples forward simulation from backward differentiation, making continuous‐time Markov chain models compatible with deep‐learning optimization.
Jose M. G. Vilar, Leonor Saiz
wiley +1 more source
Unsupervised multi-language handwritten text line segmentation
Journal of Intelligent & Fuzzy Systems, 2018 Text Lines Segmentation (TLS) affects the performance of Manuscript Text Recognition (MTR) systems from document images. At the same time, the TLS task consists of two tasks: the first is Text Lines Localization (TLL) and the second is the Search of the Path that Divides neighboring Lines (SPDL) of handwritten text.
Miguel Ángel García Calderón +2 more
openaire +2 more sources
Advanced Electronic Materials, EarlyView.Passive resistive memory arrays promise efficient in‐memory computing but suffer from sneak paths and programming variability. Here, highly uniform 32 × 32 passive RRAM crossbars are programmed with multilevel precision below 3% error and 99.5% yield.
S. Ricci +6 more
wiley +1 more source
Contextual Word Spotting in Historical Handwritten Documents
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2015 There are countless collections of historical documents in archives and libraries that contain plenty of valuable information for historians and researchers.
David Fernández
doaj +1 more source