92 citations · 92 across the 2 of their papers we have counts for
6 papers
A Novel Feature Descriptor for Image Retrieval by Combining Modified Color Histogram and Diagonally Symmetric Co-occurrence Texture Pattern
Ayan Kumar Bhunia, Avirup Bhattacharyya, Prithaj Banerjee +2
In this paper, we have proposed a novel feature descriptors combining color and texture information collectively. In our proposed color descriptor component, the inter-channel rela…
Handwriting Trajectory Recovery using End-to-End Deep Encoder-Decoder Network
Ayan Kumar Bhunia, Abir Bhowmick, Ankan Kumar Bhunia +4
In this paper, we introduce a novel technique to recover the pen trajectory of offline characters which is a crucial step for handwritten character recognition. Generally, online a…
Word Level Font-to-Font Image Translation using Convolutional Recurrent Generative Adversarial Networks
Ankan Kumar Bhunia, Ayan Kumar Bhunia, Prithaj Banerjee +4
Conversion of one font to another font is very useful in real life applications. In this paper, we propose a Convolutional Recurrent Generative model to solve the word level font t…
Staff line Removal using Generative Adversarial Networks
Aishik Konwer, Ayan Kumar Bhunia, Abir Bhowmick +4
Staff line removal is a crucial pre-processing step in Optical Music Recognition. It is a challenging task to simultaneously reduce the noise and also retain the quality of music s…
Fractional Local Neighborhood Intensity Pattern for Image Retrieval using Genetic Algorithm
Shuvozit Ghose, Abhirup Das, Ayan Kumar Bhunia +1
In this paper, a new texture descriptor named "Fractional Local Neighborhood Intensity Pattern" (FLNIP) has been proposed for content based image retrieval (CBIR). It is an extensi…
Local Neighborhood Intensity Pattern: A new texture feature descriptor for image retrieval
Prithaj Banerjee, Ayan Kumar Bhunia, Avirup Bhattacharyya +2
In this paper, a new texture descriptor based on the local neighborhood intensity difference is proposed for content based image retrieval (CBIR). For computation of texture featur…