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Kayasth, Manish M.
- Image Segmentation of Handwritten Dates on Bank Cheques
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National Journal of System and Information Technology, Vol 4, No 1 (2011), Pagination: 117-124Abstract
In this paper Author has described different issues of handwritten date segmentation task briefly along with its techniques. The paper describes a system develop to segments handwritten date information specifically written on bank checks. A system uses a newly adopted segmentation-based strategy. In order to achieve high performance in terms of efficiency and reliability, a knowledge-based module is proposed in order to segments the date. The interaction between the segmentation and recognition stages is properly established by using Segmented-Date generation and evaluation modules. The paper concludes with the current status of the effort made in segmentation of handwritten dates and future enhancement in the same direction.Keywords
OCR, Segmentation, Pattern-based Grammar
References
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- Comprehensive Study on Recognition of Offline Handwritten Gujarati Numerals
Abstract Views :381 |
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Authors
Affiliations
1 Veer Narmad South Gujarat University, Surat, Gujarat, IN
1 Veer Narmad South Gujarat University, Surat, Gujarat, IN
Source
National Journal of System and Information Technology, Vol 10, No 1 (2017), Pagination: 23-34Abstract
Last few decades, Handwritten Character Recognition (HCR) is one of the most intricate and tricky area in the field of pattern recognition. Research on Optical Character Recognition (OCR) of Gujarati script is very difficult and challenging task due to its complex structural attributes. The most important difficulty with handwritten text is the variability of writing styles, between different writers and between separate examples from the same writer overtime. There is no standard dataset available for handwritten Gujarati characters. Researcher has to develop their own character dataset. Handwritten character/Numeral recognition has received large attention in academics and production fields. This paper will act as guide and update for the readers, working in the field of OCR of Gujarati language. An overview of various statistical and structural features used for recognition based on the various research papers is presented and reviewed.Keywords
Gujarati Numeral Recognition, Off-Line Handwriting Recognition, Feature Extraction, Classification.References
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