Sulong, Ghazali and T., Saba and A., Rehman (2010) Dynamic programming based hybrid strategy for offline cursive script recognition. In: 2010 Second International Conference On Computer Engineering And Applications: ICCEA 2010, Proceedings, VOL 2, 2010, Bali Island, Indonesia.
Full text not available from this repository.
Official URL: http://dx.doi.org/10.1109/ICCEA.2010.287
In domain of analytic cursive word recognition, there are two main approaches: explicit segmentation based and implicit segmentation based. However, both approaches have their own shortcomings. To overcome individual weaknesses, this paper presents a hybrid strategy for recognition of strings of characters (words or numerals). In a two stage dynamic programming based, lexicon driven approach, first an explicit segmentation is applied to segment either cursive handwritten words or numeric strings. However, at this stage, segmentation points are not finalized. In the second verification stage, statistical features are extracted from each segmented area to recognize characters using a trained neural network. To enhance segmentation and recognition accuracy, lexicon is consulted using existing dynamic programming matching techniques. Accordingly, segmentation points are altered to decide true character boundaries by using lexicon feedback. A rigorous experimental protocol shows high performance of the proposed method for cursive handwritten words and numeral strings.
|Item Type:||Conference or Workshop Item (Paper)|
|Uncontrolled Keywords:||cursive character recognition, dynamic programming, explicit segmentation, hybrid strategy, implicit segmentation|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science|
|Divisions:||Computer Science and Information System (Formerly known)|
|Deposited By:||Liza Porijo|
|Deposited On:||27 Jul 2012 08:37|
|Last Modified:||07 Feb 2017 07:52|
Repository Staff Only: item control page