Urdu handwritten text recognition: a survey
Work on the problem of handwritten text recognition in Urdu script has been an active
research area. A significant progress is made in this interesting and challenging field in the …
research area. A significant progress is made in this interesting and challenging field in the …
Recognition of Urdu handwritten characters using convolutional neural network
In the area of pattern recognition and pattern matching, the methods based on deep learning
models have recently attracted several researchers by achieving magnificent performance …
models have recently attracted several researchers by achieving magnificent performance …
Handwritten word recognition using deep learning approach: A novel way of generating handwritten words
A handwritten word recognition system comes with issues such as-lack of large and diverse
datasets. It is necessary to resolve such issues since millions of official documents can be …
datasets. It is necessary to resolve such issues since millions of official documents can be …
Mmu-ocr-21: Towards end-to-end urdu text recognition using deep learning
Optical Character Recognition (OCR) is a technique that generates text from an image.
Recognizing the importance of OCR in real-world settings, a plethora of techniques have …
Recognizing the importance of OCR in real-world settings, a plethora of techniques have …
An efficient skewed line segmentation technique for cursive script OCR
Segmentation of cursive text remains the challenging phase in the recognition of text. In
OCR systems, the recognition accuracy of text is directly dependent on the quality of …
OCR systems, the recognition accuracy of text is directly dependent on the quality of …
Survey on segmentation and recognition of handwritten arabic script
The issue of handwritten recognition in Arabic script nature has attracted many researchers
from both academic and industrial fields. But their efforts have not reached satisfying …
from both academic and industrial fields. But their efforts have not reached satisfying …
Deep extreme learning machine-based optical character recognition system for nastalique urdu-like script languages
Optical character recognition systems convert printed or handwritten scripts into digital text
formats like ASCII or UNICODE. Urdu-like script languages like Urdu, Punjabi and Sindhi …
formats like ASCII or UNICODE. Urdu-like script languages like Urdu, Punjabi and Sindhi …
Persian Optical Character Recognition Using Deep Bidirectional Long Short-Term Memory
Optical Character Recognition (OCR) is a system of converting images, including text, into
editable text and is applied to various languages such as English, Arabic, and Persian …
editable text and is applied to various languages such as English, Arabic, and Persian …
Line and word segmentation of handwritten text document by mid-point detection and gap trailing
I Sanasam, P Choudhary, KM Singh - Multimedia Tools and Applications, 2020 - Springer
This paper presents the text line and word segmentation from unconstrained handwritten
documents based on horizontal projection histogram (HPH) to detect mid-points and gap …
documents based on horizontal projection histogram (HPH) to detect mid-points and gap …
[PDF][PDF] Tri-level handwritten text segmentation techniques for Gujarati language
B Rajyagor, R Rakholia - Indian Journal of Science and …, 2021 - pdfs.semanticscholar.org
Objectives: To improve the efficiency of tri-level segmentation tasks for handwritten Gujarati
text. Methods: Using hybrid methods for tri-level segmentation, we have used line, word and …
text. Methods: Using hybrid methods for tri-level segmentation, we have used line, word and …