Handwritten Hindi character recognition: a review
As the years passed by, computers became more powerful and automation became the
need of generation. Humans tried to automate their work and replace themselves with …
need of generation. Humans tried to automate their work and replace themselves with …
A novel weighted SVM classifier based on SCA for handwritten marathi character recognition
SP Ramteke, AA Gurjar, DS Deshmukh - IETE Journal of Research, 2022 - Taylor & Francis
The research on handwritten optical character recognition (OCR) of Marathi script is very
challenging due to the complex structural properties of the script that are not observed in …
challenging due to the complex structural properties of the script that are not observed in …
Handwritten Gujarati character recognition using structural decomposition technique
Handwritten character recognition is the active area of research. Development of Optical
Character Recognition (OCR) system for Indian script like Gujarati is still in infancy and …
Character Recognition (OCR) system for Indian script like Gujarati is still in infancy and …
[PDF][PDF] A Streamlined OCR System for Handwritten Marathi Text Document Classification and Recognition Using SVM-ACS Algorithm.
SP Ramteke, AA Gurjar, DS Deshmukh - International Journal of …, 2018 - academia.edu
Handwritten optical character recognition (OCR) is a noteworthy research region because of
its sensitivity in segmenting the character which increments on account of MARATHI script …
its sensitivity in segmenting the character which increments on account of MARATHI script …
A hybrid character segmentation approach for cursive unconstrained handwritten historical Modi script documents
MS Deshmukh, SR Kolhe - Proceedings of International …, 2019 - papers.ssrn.com
Segmentation of archaic handwritten degraded Modi script text lines in the isolated
characters is the key steps of the offline automated Modi script document recognition system …
characters is the key steps of the offline automated Modi script document recognition system …
Takri touching text segmentation using statistical approach
The paper defines a new model for Takri touching text segmentation (T3S), which uses
simpler statistical operations to locate exact segmentation column and generate faster …
simpler statistical operations to locate exact segmentation column and generate faster …
[图书][B] Detecting and mitigating robotic cyber security risks
Risk detection and cyber security play a vital role in the use and success of contemporary
computing. By utilizing the latest technological advances, more effective prevention …
computing. By utilizing the latest technological advances, more effective prevention …
Ancient Chinese character image segmentation based on interval-valued hesitant fuzzy set
X Tian, T Sun, Y Qi - IEEE Access, 2020 - ieeexplore.ieee.org
To address the low segmentation accuracy caused by the rich glyph styles of ancient
Chinese characters and the complex layout of ancient Chinese books, which affects the …
Chinese characters and the complex layout of ancient Chinese books, which affects the …
A Robust Modified Character Segmentation Approach for the Handwritten Archaic Modi Documents
MS Deshmukh, SR Kolhe - SN Computer Science, 2024 - Springer
Character segmentation is an imperative step of intelligent handwritten archaic Modi
document recognition system. Numbers of challenges like inconsistent and non-uniform …
document recognition system. Numbers of challenges like inconsistent and non-uniform …
A modified approach for the segmentation of unconstrained cursive Modi touching characters cluster
MS Deshmukh, SR Kolhe - Recent Trends in Image Processing and …, 2021 - Springer
In this paper, a robust character segmentation approach for cursive handwritten Modi script
touching character cluster is presented. Prior to segmentation, the middle text region of the …
touching character cluster is presented. Prior to segmentation, the middle text region of the …