Character Recognition System for Devanagari Script Using Machine Learning Approach

作者: Bineet Kumar Jha , Shilpa Mangesh Pande

DOI: 10.1109/ICCMC51019.2021.9418028

关键词:

摘要: It is a very difficult task to manually process the handwritten documents due varieties of scripts and lack associated language dictionary interpret documents. Most large companies as well small-scale industries want automate script recognition. The big challenge make machines recognize hand-printed scripts. Humans can or words after gaining knowledge specific language. In same way, should be trained This transferring human computers automated. proposed research work attempts character recognition system for Devanagari using various machine learning classifiers like Decision Tree classifier, Nearest Centroid K Neighbors Extra Trees Random Forest classifier. performance all evaluated accuracy parameter success criteria. classifier proved better than other with 78% 77% respectively. robustness picture quality, writing style, font size novelty OCR which makes it ideal use.

参考文章(23)
Gyanendra K. Verma, Shitala Prasad, Piyush Kumar, Handwritten Hindi Character Recognition Using Curvelet Transform international conference on information systems. pp. 224- 227 ,(2011) , 10.1007/978-3-642-19403-0_37
Subhadip Basu, Satadal Saha, Dipak Kr. Basu, Mita Nasipuri, A Hough Transform based Technique for Text Segmentation arXiv: Information Retrieval. ,(2010)
Anupama Ray, Ankit Chandawala, Santanu Chaudhury, Character Recognition Using Conditional Random Field Based Recognition Engine international conference on document analysis and recognition. pp. 18- 22 ,(2013) , 10.1109/ICDAR.2013.13
Binny Thakral, Manoj Kumar, Devanagari handwritten text segmentation for overlapping and conjunct characters- A proficient technique international conference on computer communications. pp. 1- 4 ,(2014) , 10.1109/ICRITO.2014.7014746
Xiaolin Li, Dit-Yan Yeung, On-line handwritten alphanumeric character recognition using dominant points in strokes Pattern Recognition. ,vol. 30, pp. 31- 44 ,(1997) , 10.1016/S0031-3203(96)00052-0
Xiaojun Du, Wumo Pan, Tien D. Bui, Text line segmentation in handwritten documents using Mumford-Shah model Pattern Recognition. ,vol. 42, pp. 3136- 3145 ,(2009) , 10.1016/J.PATCOG.2008.12.021
G. Louloudis, B. Gatos, I. Pratikakis, C. Halatsis, Text line and word segmentation of handwritten documents Pattern Recognition. ,vol. 42, pp. 3169- 3183 ,(2009) , 10.1016/J.PATCOG.2008.12.016
Mahesh Jangid, Renu Dhir, Rajneesh Rani, Kartar Singh, SVM classifier for recognition of handwritten devanagari numeral ieee international conference on image information processing. pp. 1- 5 ,(2011) , 10.1109/ICIIP.2011.6108869
M Cheriet, N Kharma, CL Liu, C Suen, None, Character Recognition Systems: A Guide for Students and Practitioners ,(2007)
RW Zhou, Chai Quek, Geok See Ng, A novel single-pass thinning algorithm and an effective set of performance criteria Pattern Recognition Letters. ,vol. 16, pp. 1267- 1275 ,(1995) , 10.1016/0167-8655(95)00078-X