Multilingual handwritten numeral recognition using a robust deep network joint with transfer learning
Numeral recognition plays a crucial role in creating automated systems such as posting
address sorting and license plate recognition. Nowadays, numeral recognition systems …
address sorting and license plate recognition. Nowadays, numeral recognition systems …
Two decades of bengali handwritten digit recognition: A survey
Handwritten Digit Recognition (HDR) is one of the most challenging tasks in the domain of
Optical Character Recognition (OCR). Irrespective of language, there are some inherent …
Optical Character Recognition (OCR). Irrespective of language, there are some inherent …
Construction of Alphabetic Character Recognition Systems: A Review
Character recognition (CR) systems were attracted by a massive number of authors' interest
in this field, and lot of research has been proposed, developed, and published in this regard …
in this field, and lot of research has been proposed, developed, and published in this regard …
Handwritten Digits Recognition from Images using Serendipity and Orthogonal Schemes
Recognition of handwritten digits is a stimulating task in recent years. Even though many
deep learning-oriented classification algorithms are deliberated for handwritten digit …
deep learning-oriented classification algorithms are deliberated for handwritten digit …
Crime Rate Prediction and Prevention: Unleashing the Power of Deep Learning
Around the world, crime is a serious issue that has an impact on many different communities.
Given the rise in criminal behavior, it is essential to anticipate and stop crime before it …
Given the rise in criminal behavior, it is essential to anticipate and stop crime before it …
Orthogonal Schemes for Handwritten Digits Recognizing from Image Data
P Saraswat, S Saini - … on System Modeling & Advancement in …, 2022 - ieeexplore.ieee.org
Identification of numbers has gained excitement recently. Despite the fact that several
learning focused categorization approaches are proposed for mnist dataset validation, the …
learning focused categorization approaches are proposed for mnist dataset validation, the …