An efficient deep neural network with adaptive galactic swarm optimization for complex image text extraction
D Pandey, BK Pandey - Process Mining Techniques for Pattern …, 2022 - taylorfrancis.com
Text present in a complex image contains various details which are employed to recognize
the conditions of the image and to nontext details. The details available in the complex …
the conditions of the image and to nontext details. The details available in the complex …
Urdu Nastaliq recognition using convolutional–recursive deep learning
Recent developments in recognition of cursive scripts rely on implicit feature extraction
methods that provide better results as compared to traditional hand-crafted feature extraction …
methods that provide better results as compared to traditional hand-crafted feature extraction …
Cutting the error by half: Investigation of very deep cnn and advanced training strategies for document image classification
We present an exhaustive investigation of recent Deep Learning architectures, algorithms,
and strategies for the task of document image classification to finally reduce the error by …
and strategies for the task of document image classification to finally reduce the error by …
Handwritten Urdu character recognition using one-dimensional BLSTM classifier
The recognition of cursive script is regarded as a subtle task in optical character recognition
due to its varied representation. Every cursive script has different nature and associated …
due to its varied representation. Every cursive script has different nature and associated …
Deep learning and particle swarm optimisation-based techniques for visually impaired humans' text recognition and identification
BK Pandey, D Pandey, S Wariya, G Aggarwal… - Augmented Human …, 2021 - Springer
Blind people can benefit greatly from a system capable of localising and reading
comprehension text embedded in natural scenes and providing useful information that …
comprehension text embedded in natural scenes and providing useful information that …
Urdu handwritten text recognition: a survey
Work on the problem of handwritten text recognition in Urdu script has been an active
research area. A significant progress is made in this interesting and challenging field in the …
research area. A significant progress is made in this interesting and challenging field in the …
A deep neural network-based approach for extracting textual images from deteriorate images
BK Pandey, D Pandey, S Wariya… - … on Industrial Networks …, 2021 - publications.eai.eu
INTRODUCTION: The quantity of audio and visual data is increasing exponentially due to
the internet's rapid growth. The digital information in images and videos could be used for …
the internet's rapid growth. The digital information in images and videos could be used for …
Offline cursive Urdu-Nastaliq script recognition using multidimensional recurrent neural networks
Abstract Optical Character Recognition of cursive scripts remains a challenging task due to a
large number of character shapes, inter-and intra-word overlaps, context sensitivity and …
large number of character shapes, inter-and intra-word overlaps, context sensitivity and …
Recognition of Urdu handwritten characters using convolutional neural network
In the area of pattern recognition and pattern matching, the methods based on deep learning
models have recently attracted several researchers by achieving magnificent performance …
models have recently attracted several researchers by achieving magnificent performance …
Urdu optical character recognition systems: Present contributions and future directions
This paper gives an across-the-board comprehensive review and survey of the most
prominent studies in the field of Urdu optical character recognition (OCR). This paper …
prominent studies in the field of Urdu optical character recognition (OCR). This paper …