Bhargav Rajyagor- Ph.D.(pursuing) MCA BCA
- Professor (Assistant) at Gujarat Technological University
Bhargav Rajyagor
- Ph.D.(pursuing) MCA BCA
- Professor (Assistant) at Gujarat Technological University
Assistant Professor
About
7
Publications
3,923
Reads
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60
Citations
Introduction
Asst. Professor and researcher with 12+ years of experience at several prestigious MCA/BCA institutions.
GSET Qualified in august – 2017 (GSET Ref. No. 2017156800805124).
Ph.D. perusing from GTU with “Handwritten Gujarati Character Segmentation and Recognition with Diacritics using Deep Learning “.
An MCA from Anand Institute of Information Science from S.P. University.
Self-motivated, creative and innovative individual with a positive bent of mind and a flexible attitude.
Skills and Expertise
Current institution
Additional affiliations
July 2020 - present
Position
- Professor (Assistant)
Description
- Daily instruction of courses in the BCA/MCA program curricula as assigned each semester. In accordance with the course syllabi, administration of exams, monitoring of student attendance, submission of final grades and other duties associated with course instruction. In addition to instructional responsibilities, make available direction for faculty performance in research, faculty development. Service to the University and community, committee participation and other duties as assigned.
Education
June 2006 - May 2009
Anaand institute of information science
Field of study
- Computer Science
Publications
Publications (7)
1. Abstract: Computer vision's most active area of research is handwritten digit recognition. Numerous applications essentially motivate to build of an effective recognition model using computer vision that can empower the computers to analyze the images in parallel to human vision. Most efforts have been devoted to recognizing the handwritten digi...
Poetries are the way to express the word that represents emotions and thoughts with the use of any language in the world and the computational linguistic study to the emotion recognition from poetry is an overwhelming and complex task too. Ultimate goal of this study is to disclose emotions through Gujarati poetries with the use of variety of chara...
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 character segmentation from
the image. This study presents a segmentation paradigm that works with
touching characters, slop of the line written on the page, chara...
In day to day human life, handwritten documents are a general purpose for communication and restoring their information. In the field of computer science, character recognition using Deep Learning has more attention. DL has a massive set of pattern recognition tools that can apply to speech recognition, image processing, natural language processing...
Questions
Question (1)
Respected to all,
I want to segment each handwritten character from the scanned image. Please suggest me any model that may be used for the same.
Thanks
