• Home
  • Prafulla E Ajmire
Prafulla E Ajmire

Prafulla E Ajmire
G S Science, Arts & Commerce College, Khamgaon · Computer Science & Application

MSc,PGDCS,MS,M.Phil, Ph.D

About

30
Publications
16,154
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
73
Citations
Additional affiliations
January 1988 - April 2015
G S College, Khamgaon
Position
  • Head of Department
Education
July 2011 - May 2017
Rashtrasant Tukadoji Maharaj Nagpur University
Field of study
  • Image Processing- Character Recognition
August 2007 - August 2008
Sant Gadge Baba Amravati University
Field of study
  • Computer Science
July 1992 - January 1994

Publications

Publications (30)
Article
Full-text available
It is literature Survey of methods for character recognition.
Article
Full-text available
The offline handwritten identification in the area of pattern recognition was a heavy and difficult task. Because of its application in different areas, a set of work is being done and the results are continuing to be strengthened by different methods. We suggested in this paper a handwritten model for individual character recognition using general...
Article
Full-text available
Abstract: The offline handwritten identification in the area of pattern recognition was a heavy and difficult task. Because of its application in different areas, a set of work is being done and the results are continuing to be strengthened by different methods. We suggested in this paper a handwritten model for individual character recognition usi...
Conference Paper
Full-text available
In Entertainment domain TV shows are dominant. The various services providers are continuously increasing various types of shows, but the customer's choice varies according to the locality and according to the season. The services providers of TV channel provide the package of their own groups. The techniques of data mining can used to analyze and...
Conference Paper
Full-text available
ABSTACT:- The research on Devanagari character recognition has been started before four decays. Recently, many researchers are working on this topic, but till the standard database of handwritten Devanagari characters dose not exit globally. This is the major obstacle in this research area. So, the researchers design their own database and they als...
Article
Recognition of Devanagari CAPTCHA script characters is yet a challenging problem. Many lingual character recognition systems have been developed since last few years. There are several techniques that are proposed to deal with problem of character recognition. This paper presents an efficient Devanagari character recognition scheme that implements...
Article
Full-text available
Abstract- Devanagari is an ancient Indian script. This script is used to write more than 100 languages spoken in India and Nepal including Sanskrit, Hindi, Marathi, Bhojpuri, Nepali, Kokani, Sindhi, Marwari, Maithili, Pali and many more. The word “Devanagari” is a combination of two wordsmeans God and “Nagari” which means urban establishment. Thus,...
Article
Full-text available
Abstract : The goal of Optical Character Recognition (OCR) is to classify optical patterns (often contained in a digital image) corresponding to alphanumeric or other characters. The process of OCR involves several steps including image acquisition, segmentation, feature extraction, and classification. Text capture is a process to convert analogue...
Research
Full-text available
The goal of Optical Character Recognition (OCR) is to classify optical patterns (often contained in a digital image) corresponding to alphanumeric or other characters. The process of OCR involves several steps including image acquisition, segmentation, feature extraction, and classification. Text capture is a process to convert analogue text based...
Article
This paper presents a review of structural features for character recognition. Structural features are the features that are physically a part of the structure of the character, such as straight lines, arcs, circles, intersections etc. Selection of a feature extraction method is probably the single most important factor in achieving high recognitio...
Conference Paper
This paper presents a review of methods for character recognition. Optical Character Recognition (OCR) is the task of perceiving the characters which are available in a digital form. The characters can be machine print or handwritten. OCR is demonstrating along with the most fascinating and testing regions of pattern recognition with different prac...
Article
Full-text available
Human eyes are enable to detect the micro defect in metal (steel). These defects may cause major problems in device or where it is used. So, the identification of such defects is a challenging task. Today metal (steel) is major row material for various industry. In the digital image processing is one of the major techniques to identify these defect...
Article
Full-text available
Memory is a vital resource which should be used efficiently. Compression helps us achieve this goal. Image compression techniques are mainly used to decrease the memory size requirement for the image. These compression techniques are of two types, lossy and lossless. In lossless, the original image is exactly reconstructed after the decompression w...
Article
Full-text available
The Indian Government has recognized Hindi and English both as official languages, under the VIII scheduled, along with 22 languages. Most of the optical character recognition research work has been done on Devanagari, Telgu, Arabic, and Bangla script. The selection of feature extraction and classification technique is the important to achieve the...
Article
Full-text available
Machine recognition of handwriting has been improving from last decay. The task of machine learning and recognition which also include reading handwriting is closely resembling human performance is still an open problem and also the central issue of an active field of research. Many researchers are working for fully automating the process of readin...
Article
Full-text available
Many researchers are working to automate the process of reading, understanding and interpretation of handwritten character. In this paper, we present the new machine learning algorithm for Handwritten Devanagari (Marathi) characters recognition. Offline handwritten character recognition is an important area of Document Analysis and Recognition (DAR...
Article
Full-text available
Compound character recognition of Devanagari Script (Marathi language) is one of the challenging tasks since the compound character is combination of one or more characters. These characters can be treated as fusion of two or more characters and hence these are complex in structure. Marathi, Hindi, Sanskrit and Nepali are written with Devanagari sc...
Article
Full-text available
This research work deals with the feature extraction and recognition of Modifiers in Marathi Text (Devanagari). Many researchers are working on the handwritten Marathi character recognition. As compare to English and other languages Marathi is little bit complex language. Marathi language contains 12 common vowels and 36 consonants. In addition to...
Conference Paper
Full-text available
This paper presents a review of structural features for character recognition. Structural features are the features that are physically a part of the structure of the character, such as straight lines, arcs, circles, intersections etc. Selection of a feature extraction method is probably the single most important factor in achieving high recognitio...
Article
Full-text available
In the field of pattern recognition, automated recognition of unconstrained handwritten character recognition continues to be research task. There are various scripts and languages used in the world. In this modern era, computers are used widely in communication, education, etc. In this paper, the focus is on the complexity of various scripts used...
Conference Paper
Full-text available
Keyword: Statistical techniques, Feature Extraction, Handwritten character recognition. The content work in this paper is to describe the statistical techniques used for feature extraction for handwritten character recognition. Many researchers are working for recognition of handwritten characters. There are many script and languages in the world....
Conference Paper
Full-text available
This paper presents a review of structural features for character recognition. Structural features are the features that are physically a part of the structure of the character, such as straight lines, arcs, circles, intersections etc. Selection of a feature extraction method is probably the single most important factor in achieving high recognitio...
Conference Paper
Full-text available
The different pattern recognition models have been proposed in recent years and the different research groups are working on for the recognition result.Handwritten character recognition for any Indian writing system is rendered complex because of the presence of composite characters. Hence the selection of a feature extraction method is probably th...
Article
Full-text available
The work in this paper is deals with the recognition of handwritten Marathi vowels. Marathi is anIndo-Aryan language spoken by about 71 million people mainly in the Indian state of Maharashtra andneighbouring states. Marathi is also spoken in Israel and Mauritius. Marathi is thought to be a descendent ofMaharashtri, one of the Prakrit languages whi...
Conference Paper
Full-text available
The work in this paper deals with the recognition of fossil leaves. The objective of this research is to use pattern rejection algorithm in paleobotany. As there is no standardized database available, it was developed first and the fossil leaves recognition system design using pattern-matching technique based on the actual scanning or available ima...
Article
Full-text available
The feature extraction is important step in pattern recognition. The application of pattern recognition to extract proper features of leaf can lead to through study of botanical characteristics of leaf. The methodological contents of this paper are to describe a novel approach for pattern recognition method for feature extraction from natural image...

Questions

Question (1)
Question
I wish to use MultiSVM for 30 Classes is it possible? if yes How to use it?

Network

Cited By

Projects

Projects (6)
Archived project
Study of Various tech for leaf and fossil recognition
Archived project
Study and Design systems for Handwritten Marathi Numerals