Aamna Bhatti

ORCID: 0000-0002-8526-4827
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About
Contact & Profiles
Research Areas
  • Hand Gesture Recognition Systems
  • Currency Recognition and Detection
  • Vehicle License Plate Recognition
  • Handwritten Text Recognition Techniques
  • Human Pose and Action Recognition
  • Image and Object Detection Techniques

National University of Sciences and Technology
2023-2025

Urdu is a complex language as it an amalgam of many South Asian and East languages; hence, its character recognition huge difficult task. It bidirectional with numerals written from left to right while script in opposite direction which induces complexities the process. This paper presents classification novel numeral dataset using convolutional neural network (CNN) variants. We propose custom CNN model extract features are used by Softmax activation function support vector machine (SVM)...

10.3390/app13031624 article EN cc-by Applied Sciences 2023-01-27
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