Indic script family and its offline handwriting recognition for characters/digits and words: a comprehensive survey
Handwriting recognition has become an active area of research in pattern recognition and
machine learning in recent years. Handwriting recognition systems have a variety of …
machine learning in recent years. Handwriting recognition systems have a variety of …
Advances in Offline Handwritten Signature Recognition Research: A Review
Z Wang, M Muhammat, N Yadikar, A Aysa… - IEEE Access, 2023 - ieeexplore.ieee.org
A person's handwritten signature, one of the methods frequently used to confirm their
identity, is used exclusively to confirm the biometric identification of different financial, legal …
identity, is used exclusively to confirm the biometric identification of different financial, legal …
E2timt: Efficient and effective modal adapter for text image machine translation
Text image machine translation (TIMT) aims to translate texts embedded in images from one
source language to another target language. Existing methods, both two-stage cascade and …
source language to another target language. Existing methods, both two-stage cascade and …
Bagging: An ensemble approach for recognition of handwritten place names in gurumukhi script
In this article, the authors present an effort to recognize handwritten Gurumukhi place names
for use in postal automation. Five feature extraction techniques (zoning, horizontal peak …
for use in postal automation. Five feature extraction techniques (zoning, horizontal peak …
The self-adaptive dwarf mongoose optimized bidirectional network approach for enhanced recognition of overlapped English cursive characters
Automated text recognition systems play a significant role in converting unstructured
documents into machine-readable formats, thereby reducing paper usage and creating a …
documents into machine-readable formats, thereby reducing paper usage and creating a …
Worddeepnet: handwritten gurumukhi word recognition using convolutional neural network
Deep learning models are considered a revolutionary learning paradigm in artificial
intelligence and machine learning, piquing the interest of image recognition and computer …
intelligence and machine learning, piquing the interest of image recognition and computer …
On the performance analysis of various features and classifiers for handwritten devanagari word recognition
Holistic-based or segmentation-free handwritten word recognition is one of a pattern
recognition problem that aims to recognize the entire word image as a single entity. It is a …
recognition problem that aims to recognize the entire word image as a single entity. It is a …
A novel offline handwritten text recognition technique to convert ruled-line text into digital text through deep neural networks
Abstract Offline Handwritten Text Recognition (HTR) has been an active area of research
due to its wide range of applications and challenges. Recently, many offline HTR techniques …
due to its wide range of applications and challenges. Recently, many offline HTR techniques …
City name recognition for Indian postal automation: Exploring script dependent and independent approach
S Chatterjee, H Mukherjee, S Sen… - Multimedia Tools and …, 2024 - Springer
Postal documents are often used for official communication, online shop**, etc. At times,
the delivery gets delayed due to multiple scripts leading to the need for postal sorting …
the delivery gets delayed due to multiple scripts leading to the need for postal sorting …
Comparative study on the performance of the state-of-the-art CNN models for handwritten Bangla character recognition
In the realm of Optical Character Recognition, handwritten character recognition in Bangla is
still an unresolved challenge. There have been many breakthroughs in object recognition …
still an unresolved challenge. There have been many breakthroughs in object recognition …