Introducing urdu digits dataset with demonstration of an efficient and robust noisy decoder-based pseudo example generator
In the present work, we propose a novel method utilizing only a decoder for generation of
pseudo-examples, which has shown great success in image classification tasks. The …
pseudo-examples, which has shown great success in image classification tasks. The …
Optimizing semantic LSTM for spam detection
Classifying spam is a topic of ongoing research in the area of natural language processing,
especially with the increase in the usage of the Internet for social networking. This has given …
especially with the increase in the usage of the Internet for social networking. This has given …
Segmentation techniques for recognition of Arabic-like scripts: A comprehensive survey
Arabic script based text recognition system has been a popular field of research for many
years that can be used in the learning and teaching process to the students and educators …
years that can be used in the learning and teaching process to the students and educators …
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 …
Deep learning-based sentiment analysis for roman urdu text
Sentiment Analysis has significant attention due to its versatile approach to analysis user's
sentiments on various social networks, forums, e-marketing sites and blogs. Sentiments …
sentiments on various social networks, forums, e-marketing sites and blogs. Sentiments …
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 …
A multi-scale deep quad tree based feature extraction method for the recognition of isolated handwritten characters of popular indic scripts
Recognition of handwritten characters is a challenging task. Variations in writing styles from
one person to another, as well as for a single individual from time to time, make this task …
one person to another, as well as for a single individual from time to time, make this task …
A multi-objective approach towards cost effective isolated handwritten Bangla character and digit recognition
Identifying the most informative local regions of a handwritten character image is necessary
for a robust handwritten character recognition system. But identifying them from a character …
for a robust handwritten character recognition system. But identifying them from a character …
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 …
Handwritten Chinese text recognition using separable multi-dimensional recurrent neural network
The Long Short-Term Memory Recurrent Neural Network (LSTM-RNN) has been
demonstrated successful in handwritten text recognition of Western and Arabic scripts. It is …
demonstrated successful in handwritten text recognition of Western and Arabic scripts. It is …