Recognition of Two Connected Handwritten Digits Based on User-Defined Algorithm
R.Vijaya Kumar Reddy1, K. Prudvi Raju2, G Venugopal3, B.Srinivasa Rao4
1Dr. R.Vijaya Kumar Reddy, Assistant Professor, Department of Information Technology, Prasad V. Polturi Siddhartha Institute of Technology, Vijayawada, A.P, India.
2K. Prudvi Raju, Assistant Professor, Department of Information Technology, Prasad V. Polturi Siddhartha Institute of Technology, Vijayawada, A.P, India.
3G Venugopal, Assistant Professor, Department of Information Technology, Prasad V. Polturi Siddhartha Institute of Technology, Vijayawada, A.P, India.
4Dr. B.Srinivasa Rao, Professor & HOD, Department of Information Technology, Lakireddy Bali Reddy College of Engineering, Mylavaram, A.P, India.
Manuscript received on December 13, 2019. | Revised Manuscript received on December 23, 2019. | Manuscript published on January 10, 2020. | PP: 1723-1728 | Volume-9 Issue-3, January 2020. | Retrieval Number: C8676019320/2020©BEIESP | DOI: 10.35940/ijitee.C8676.019320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The present paper proposes a model for recognizing unconstrained offline two connected handwritten Numeral digit strings. The Numeral strings are segmented and isolated numerals are obtained using sliding window approach with user defined algorithm. Hence the present paper proposes a segmentation-recognition system using the sliding window approach with user defined classifier. The sliding window is used for discovery the interconnection spots and optimal angle for cutting the adjacent digits at the same time and a minimum of 5 features are extracted from each isolated digit for classification. The exploratory outcomes directed on a recently gathered database of manually written digits and got promising results. The overall efficiency obtained using the proposed method is about 98.51%.
Keywords: Connected Handwritten Digits, Segmentation, Classification, Sliding Window, Contour
Scope of the Article: Classification