Deep ConvNet with Different Stochastic Optimizations for Handwritten Devanagari Character
Author:
Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-13-0341-8_5
Reference25 articles.
1. Trier, Ø.D., Jain, A.K., Taxt, T.: Feature extraction methods for character recognition-a survey. Pattern Recogn. 29(4), 641–662 (1996)
2. Jangid, M., Srivastava, S.: Gradient local auto-correlation for handwritten Devanagari character recognition. In: 2014 International Conference on High Performance Computing and Applications (ICHPCA), pp. 1–5. IEEE (2014)
3. Kan, C., Srinath, M.D.: Invariant character recognition with Zernike and orthogonal Fourier-Mellin moments. Pattern Recogn. 35(1), 143–154 (2002)
4. Pal, U., Sharma, N., Wakabayashi, T., Kimura, F.: Off-line handwritten character recognition of devnagari script. In: Ninth International Conference on Document Analysis and Recognition, 2007. ICDAR 2007, vol. 1, pp. 496–500. IEEE (2007)
5. Arora, S., Bhattacharjee, D., Nasipuri, M., Basu, D.K., Kundu, M., Malik, L.: Study of different features on handwritten Devnagari character. In: 2009 2nd International Conference on Emerging Trends in Engineering and Technology (ICETET), pp. 929–933. IEEE (2009)
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Improve Accuracy in Healthcare Data Analysis using Competitive Ensemble Deep Learning Model;2024 11th International Conference on Computing for Sustainable Global Development (INDIACom);2024-02-28
2. Comparatively Studying Modern Optimizers Capability for Fitting Vision Transformers;EAI/Springer Innovations in Communication and Computing;2024
3. Deep Learning Model for Recognition of Handwritten Devanagari Numerals With Low Computational Complexity and Space Requirements;IEEE Access;2023
4. Augmentation of Handwritten Devanagari Character Dataset Using DCGAN;Algorithms for Intelligent Systems;2022
5. Offline recognition of handwritten Indic scripts: A state-of-the-art survey and future perspectives;Computer Science Review;2020-11
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3