1.9k citations · 2.1k across the 21 of their papers we have counts for
7 papers · 1 filter
Intra-Variable Handwriting Inspection Reinforced with Idiosyncrasy Analysis
Chandranath Adak, Bidyut B. Chaudhuri, Chin-Teng Lin +1
In this paper, we work on intra-variable handwriting, where the writing samples of an individual can vary significantly. Such within-writer variation throws a challenge for automat…
A Method to Generate Synthetically Warped Document Image
Arpan Garai, Samit Biswas, Sekhar Mandal +1
The digital camera captured document images may often be warped and distorted due to different camera angles or document surfaces. A robust technique is needed to solve this kind o…
diffGrad: An Optimization Method for Convolutional Neural Networks
Shiv Ram Dubey, Soumendu Chakraborty, Swalpa Kumar Roy +3
Stochastic Gradient Decent (SGD) is one of the core techniques behind the success of deep neural networks. The gradient provides information on the direction in which a function ha…
A BLSTM Network for Printed Bengali OCR System with High Accuracy
Debabrata Paul, Bidyut Baran Chaudhuri
This paper presents a printed Bengali and English text OCR system developed by us using a single hidden BLSTM-CTC architecture having 128 units. Here, we did not use any peephole c…
HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification
Swalpa Kumar Roy, Gopal Krishna, Shiv Ram Dubey +1
Hyperspectral image (HSI) classification is widely used for the analysis of remotely sensed images. Hyperspectral imagery includes varying bands of images. Convolutional Neural Net…
A Kalman filtering induced heuristic optimization based partitional data clustering
Arjun Pakrashi, Bidyut B. Chaudhuri
Clustering algorithms have regained momentum with recent popularity of data mining and knowledge discovery approaches. To obtain good clustering in reasonable amount of time, vario…
LiSHT: Non-Parametric Linearly Scaled Hyperbolic Tangent Activation Function for Neural Networks
Swalpa Kumar Roy, Suvojit Manna, Shiv Ram Dubey +1
The activation function in neural network introduces the non-linearity required to deal with the complex tasks. Several activation/non-linearity functions are developed for deep le…