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Staff line Removal using Generative Adversarial Networks
Staff line removal is a crucial pre-processing step in Optical Music Recognition.
Word Level Font-to-Font Image Translation using Convolutional Recurrent Generative Adversarial Networks
We employ a novel convolutional recurrent model architecture in the Generator that efficiently deals with the word images of arbitrary width.
Handwriting Trajectory Recovery using End-to-End Deep Encoder-Decoder Network
Our encoder module consists of Convolutional LSTM network, which takes an offline character image as the input and encodes the feature sequence to a hidden representation.
A Novel Feature Descriptor for Image Retrieval by Combining Modified Color Histogram and Diagonally Symmetric Co-occurrence Texture Pattern
In this paper, we have proposed a novel feature descriptors combining color and texture information collectively.
Local Neighborhood Intensity Pattern: A new texture feature descriptor for image retrieval
The proposed method is based on the concept that neighbors of a particular pixel hold a significant amount of texture information that can be considered for efficient texture representation for CBIR.
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