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Shape decomposition-based handwritten compound character recognition for Bangla OCR
TLDR
In this paper, we propose a novel shape decomposition-based segmentation technique to decompose the compound characters into prominent shape components. Expand
Recent developments in social spam detection and combating techniques: A survey
TLDR
This paper surveys the recent developments in the area of social spam detection and mitigation, its theoretical models and applications along with their qualitative comparison. Expand
Linear Curve Fitting-Based Headline Estimation in Handwritten Words for Indian Scripts
TLDR
We propose a method that uses simple linear regression for estimating headlines present in handwritten words. Expand
A Study on the Effect of CNN-Based Transfer Learning on Handwritten Indic and Mixed Numeral Recognition
TLDR
We use readily available pre-trained Convolutional Neural Network architectures on four different Indic scripts, viz. Expand
A novel approach towards segmentation of connected handwritten numerals
TLDR
We propose a novel method for segmentation of unconstrained handwritten numeral strings, where a neural network classifier is employed to classify the isolated and touching numerals. Expand
Segmentation-based recognition system for handwritten Bangla and Devanagari words using conventional classification and transfer learning
TLDR
The authors propose a system that first detects and corrects skew present in Bangla and Devanagari handwritten words, estimates the headline, and further segments the words into meaningful pseudo-characters. Expand
Finding the optimum classifier: Classification of segmentable components in offline handwritten Devanagari words
TLDR
We propose an approach that finds the number of components present in a word image. Expand
What the user does not want?: query reformulation through term inclusion-exclusion
TLDR
In information retrieval, keyword-based queries often fail to capture actual information need, especially when the need is very specific and particular. Expand
Ink Analysis Using CNN-Based Transfer Learning to Detect Alteration in Handwritten Words
TLDR
An ink color based analysis using Convolutional Neural Network (CNN) automation method has been introduced for alteration detection. Expand
Segmentation of Bengali Handwritten Conjunct Characters Through Structural Disintegration
TLDR
We propose a structural disintegration based segmentation based technique that fragments the conjunct characters into discernible shapes for better recognition accuracy. Expand
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