tsegGAN: A Generative Adversarial Network for Segmenting Touching Nontext Components From Text Ones in Handwriting.
Riktim MondalShowmik BhowmikRam SarkarPublished in: IEEE Trans. Instrum. Meas. (2021)
Keyphrases
- network traffic
- information retrieval
- peer to peer
- generative model
- network structure
- image segmentation
- handwritten documents
- text mining
- communication networks
- document analysis
- data driven
- building blocks
- unsupervised learning
- component failures
- network model
- character recognition
- text retrieval
- complex networks
- database
- probabilistic model
- hidden markov models
- artificial neural networks
- machine learning