S
Savita Ahlawat
Researcher at Maharaja Surajmal Institute of Technology
Publications - 21
Citations - 497
Savita Ahlawat is an academic researcher from Maharaja Surajmal Institute of Technology. The author has contributed to research in topics: Artificial neural network & Feature extraction. The author has an hindex of 10, co-authored 18 publications receiving 272 citations.
Papers
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Journal ArticleDOI
Improved Handwritten Digit Recognition Using Convolutional Neural Networks (CNN).
TL;DR: A CNN architecture is proposed in order to achieve accuracy even better than that of ensemble architectures, along with reduced operational complexity and cost.
Journal ArticleDOI
Hybrid CNN-SVM Classifier for Handwritten Digit Recognition
Savita Ahlawat,Amit Choudhary +1 more
TL;DR: A hybrid model of a powerful Convolutional Neural Networks (CNN) and Support Vector Machine (SVM) for recognition of handwritten digit from MNIST dataset is developed, which achieves recognition accuracy of 99.28% over MNIST handwritten digits dataset.
Journal ArticleDOI
Off-line Handwritten Character Recognition Using Features Extracted from Binarization Technique☆
TL;DR: Very promising results are achieved when binarization features and the multilayer feed forward neural network classifier is used to recognize the off-line cursive handwritten characters.
Journal ArticleDOI
A New Character Segmentation Approach for Off-Line Cursive Handwritten Words
TL;DR: A new vertical segmentation algorithm is proposed in which the segmentation points are located after thinning the word image to get the stroke width of a single pixel and high segmentation accuracy is found to be achieved.
Book ChapterDOI
Hand Gesture Recognition Using Convolutional Neural Network
TL;DR: A hand gesture recognition application is proposed to recognize hand gestures using a webcam using Convolutional Neural Network for learning and classifying the hand gestures.