Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Binod Kumar Prasad"'
Autor:
Binod Kumar Prasad, Om Prakash Dubey
Publikováno v:
International Journal of Students' Research in Technology & Management. 10:06-11
Purpose of the study: This paper aims to recognition of handwritten English characters in offline mode. It develops an efficient character recognition model avoiding large variations in handwriting by using better feature extraction techniques. Metho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bd7f080722ce4b73bcb5e247764a5e5
https://doi.org/10.18510/ijsrtm.2022.1032
https://doi.org/10.18510/ijsrtm.2022.1032
Autor:
Binod Kumar Prasad
Publikováno v:
International Journal of Students' Research in Technology & Management. 9:7-12
Purpose of the study: The purpose of this work is to present an offline Optical Character Recognition system to recognise handwritten English numerals to help automation of document reading. It helps to avoid tedious and time-consuming manual typing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::681e13e46ca7178f9b82b86b77e0830c
https://doi.org/10.18510/ijsrtm.2021.922
https://doi.org/10.18510/ijsrtm.2021.922
Autor:
O Sri Nagesh, Sachin Tripathi, Sheetal Binod Kumar Prasad, Hariramakrishnan P, Anita Gehlot, Vikas Tripathi
Publikováno v:
2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a767d3a436c17e379f36c514c15c2c95
https://doi.org/10.1109/icacite53722.2022.9823483
https://doi.org/10.1109/icacite53722.2022.9823483
Autor:
Binod Kumar Prasad
Publikováno v:
International Journal of Students' Research in Technology & Management. 8:15-20
Purpose: Lines and Curves are important parts of characters in any script. Features based on lines and curves go a long way to characterize an individual character as well as differentiate similar-looking characters. The present paper proposes an Eng
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7972ad44f97abf854142a55bc7072e3c
https://doi.org/10.18510/ijsrtm.2020.823
https://doi.org/10.18510/ijsrtm.2020.823
Autor:
Binod Kumar Prasad
Publikováno v:
Advances in Computational Intelligence Techniques ISBN: 9789811526190
The paper aims at redressing the effect of structural and format variations in offline recognition of handwritten English numeral samples. In printed form, some of the English numerals have only curvature parts (0, 3, 6, 8, 9) and some are with linea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e93b2a744ae32ec76d2de3d3556bc078
https://doi.org/10.1007/978-981-15-2620-6_13
https://doi.org/10.1007/978-981-15-2620-6_13
Autor:
Rajdeep Kundu, Binod Kumar Prasad
Publikováno v:
International Journal of Students' Research in Technology & Management. 5:52-57
An Optical Character Recognition (OCR) consists of three bold steps namely Preprocessing, Feature extraction, Classification. Methods of Feature extraction yield feature vectors based on which the classification of a testing pattern is executed. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2796082427d5920905995b248496b340
https://doi.org/10.18510/ijsrtm.2017.547
https://doi.org/10.18510/ijsrtm.2017.547
Autor:
Goutam Sanyal, Binod Kumar Prasad
Publikováno v:
Multidimensional Systems and Signal Processing. 29:321-338
Individuality of handwriting inserts varying curvatures and angles whenever someone writes a sample of a particular numeral which makes the task of its off-line recognition more challenging. The paper addresses both these issues in novel and robust w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9457ee12f1e540bd149664c6cdc051ac
https://doi.org/10.1007/s11045-016-0466-4
https://doi.org/10.1007/s11045-016-0466-4
Autor:
Binod Kumar Prasad
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9789811337642
Simpler methods of feature extraction and better accuracy have always been primary needs of a handwriting recognition system to be a successful real-time system. The novelty of this paper lies in the introduction of two unique methods of feature extr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ec24eb29ff3fc47e7543d185247228f
https://doi.org/10.1007/978-981-13-3765-9_26
https://doi.org/10.1007/978-981-13-3765-9_26
Autor:
Goutam Sanyal, Binod Kumar Prasad
Publikováno v:
International Conference for Convergence for Technology-2014.
This paper aims at presenting a rotation invariant feature extraction scheme to support well known result oriented recognizer HMM. Hybrid feature extraction method consists of features due to moment of inertia (FMI) and projection features. Projectio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f03a2f6385af18ecd0bff000d6f09acc
https://doi.org/10.1109/i2ct.2014.7092312
https://doi.org/10.1109/i2ct.2014.7092312