Ancient text recognition: a review
Optical character recognition (OCR) is an important research area in the field of pattern
recognition. A lot of research has been done on OCR in the last 60 years. There is a large …
recognition. A lot of research has been done on OCR in the last 60 years. There is a large …
Graphology based handwritten character analysis for human behaviour identification
Graphology‐based handwriting analysis to identify human behavior, irrespective of
applications, is interesting. Unlike existing methods that use characters, words and …
applications, is interesting. Unlike existing methods that use characters, words and …
Multi-language online handwriting recognition
We describe Google's online handwriting recognition system that currently supports 22
scripts and 97 languages. The system's focus is on fast, high-accuracy text entry for mobile …
scripts and 97 languages. The system's focus is on fast, high-accuracy text entry for mobile …
Off-line cursive script recognition: current advances, comparisons and remaining problems
This paper presents detailed review in the field of off-line cursive script recognition. Various
methods are analyzed that have been proposed to realize the core of script recognition in a …
methods are analyzed that have been proposed to realize the core of script recognition in a …
Combined evidence annotation of transposable elements in genome sequences
H Quesneville, CM Bergman, O Andrieu… - PLoS computational …, 2005 - journals.plos.org
Transposable elements (TEs) are mobile, repetitive sequences that make up significant
fractions of metazoan genomes. Despite their near ubiquity and importance in genome and …
fractions of metazoan genomes. Despite their near ubiquity and importance in genome and …
Handwritten Bangla Character Recognition Using the State‐of‐the‐Art Deep Convolutional Neural Networks
In spite of advances in object recognition technology, handwritten Bangla character
recognition (HBCR) remains largely unsolved due to the presence of many ambiguous …
recognition (HBCR) remains largely unsolved due to the presence of many ambiguous …
Handwritten bangla digit recognition using deep learning
In spite of the advances in pattern recognition technology, Handwritten Bangla Character
Recognition (HBCR)(such as alpha-numeric and special characters) remains largely …
Recognition (HBCR)(such as alpha-numeric and special characters) remains largely …
[PDF][PDF] Segmentation of Bangla unconstrained handwritten text
U Pal, S Datta - … International Conference on Document Analysis and …, 2003 - Citeseer
To take care of variability involved in the writing style of different individuals in this paper we
propose a robust scheme to segment unconstrained handwritten Bangla texts into lines …
propose a robust scheme to segment unconstrained handwritten Bangla texts into lines …
Scalable online betweenness centrality in evolving graphs
N Kourtellis, GDF Morales… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Betweenness centrality is a classic measure that quantifies the importance of a graph
element (vertex or edge) according to the fraction of shortest paths passing through it. This …
element (vertex or edge) according to the fraction of shortest paths passing through it. This …
Bornonet: Bangla handwritten characters recognition using convolutional neural network
Bangla handwriting recognition is becoming an important issue in several years but it
becomes a challenge to get good performance due to the alignment and many of them are …
becomes a challenge to get good performance due to the alignment and many of them are …