Open Access
| Issue |
MATEC Web of Conferences
Volume 57, 2016
4th International Conference on Advancements in Engineering & Technology (ICAET-2016)
|
|
|---|---|---|
| Article Number | 01010 | |
| Number of page(s) | 6 | |
| Section | Electronic & Electrical Engineering | |
| DOI | https://doi.org/10.1051/matecconf/20165701010 | |
| Published online | 11 May 2016 | |
- Oliver A. Nina, “Interactive Enhancement of Handwritten Text through Multi-resolution Gaussian”, in 2012 International Conference on Frontiers in Handwriting Recognition. [Google Scholar]
- Jonathan J. HULL, Alan COMMIKE and Tin-Kam HO, ” Multiple Algorithms for Handwritten Character Recognition”. [Google Scholar]
- Yanwei Wang, Xiaoqing Ding, Fellow, IEEE, and Changsong Liu, ” Topic Language Model Adaption for Recognition of Homologous Offline Handwritten Chinese Text Image”, IEEE SIGNAL PROCESSING LETTERS, VOL. 21, NO. 5, MAY 2014. [Google Scholar]
- Faisal Mohammad, Jyoti Anarase, Milan Shingote, Pratik Ghanwat “Optical Character Recognition Implementation Using Pattern Matching”, Faisal Mohammad et al, / (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 5 (2) , 2014, 2088-2090. [Google Scholar]
- DJEDDI Chawki, SOUICI-MESLATI Labiba, ” A texture based approach for Arabic Writer Identification and Verification”, 978-14244-8611-3/10/$26.00 ©2010 IEEE. [Google Scholar]
- A.J.Jadhav Vaibhav Kolhe Sagar Peshwe, “Text Extraction from Images: A Survey”, in Volume 3, Issue 3, March 2013, ISSN: 2277 128X. [Google Scholar]
- Prof. Amit Choksi1, Nihar Desai2, Ajay Chauhan3, Vishal Revdiwala4, Prof. Kaushal Patel5, “Text Extraction from Natural Scene Images using Prewitt Edge Detection Method”, Volume 3, Issue12, December 2013, ISSN: 2277 128X. [Google Scholar]
- Vassilis Papavassilioua,Themos Stafylakisa,Vassilis Katsourosa and George Carayannisa, “Handwritten document image segmentation into text lines and words”, 2010. [Google Scholar]
- Debapratim Sarkar, Raghunath Ghosh, A Bottom-Up Approach of Line Segmentation from Handwritten Text, 2009. [Google Scholar]
- Bartosz Paszkowski, Wojciech Bieniecki and Szymon Grabowski Katedra Informatyki Stosowanej, Politechnika ALodzka, “Preprocessing for real-time handwritten character recognition”. [Google Scholar]
- Juan Chen,Chuanxiong Guo, “Online Detection and Prevention of Phishing Attacks”. Mohammed Ali Qatran, “Template Matching Method For Recognition Musnad Characters Based On Correlation Analysis”. [Google Scholar]
- Mr.Danish Nadeem, Miss. Saleha Rizvi, “Character Recognition Using Template Matching”. [Google Scholar]
- Harmeet Kaur Kelda, Prabhpreet Kaur, “A Review: Color Models in Image Processing”. [Google Scholar]
- Nafiz Arica and Fatos T. Yarman-Vural, “An Overview of Character Recognition Focused on Off-Line Handwriting”. [Google Scholar]
- Prof. Primož Potočnik, Student: Žiga Zadnik, ”Handwritten character Recognition: Training a Simple NN for classification using MATLAB”. [Google Scholar]
- Lidiya Georgieva, Tatyana Dimitrova, Nicola Angelov, ”RGB and HSV colour models in colour identification of digital traumasImages”, International Conference on Computer Systems and Technologies - CompSysTech’ 2005. [Google Scholar]
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