Automatic Recognition of Unconstrained Off-Line Bangla Handwritten Numerals
ICMI '00 Proceedings of the Third International Conference on Advances in Multimodal Interfaces
Adaptive Hindi OCR using generalized Hausdorff image comparison
ACM Transactions on Asian Language Information Processing (TALIP)
Design and Comparison of Segmentation Driven and Recognition Driven Devanagari OCR
DIAL '06 Proceedings of the Second International Conference on Document Image Analysis for Libraries
Recognition of Bengali Handwritten Characters Using Skeletal Convexity and Dynamic Programming
EAIT '11 Proceedings of the 2011 Second International Conference on Emerging Applications of Information Technology
Integrating knowledge sources in Devanagari text recognition system
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Fast Polygonal Approximation of Digital Curves Using Relaxed Straightness Properties
IEEE Transactions on Pattern Analysis and Machine Intelligence
| Hi-index | 0.00 |
In this paper, we present a novel technique for detection of concave regions as a structural information of character images. The problem difficulty lies in reporting all concavities irrespective of the viewing direction on the 2D plane. In our approach, we detect concave regions by analyzing the sequence of discrete turns taken to describe the character stroke; hence, it becomes view-invariant. The proposed method has the added advantage of detecting same concave regions of a particular character written by different individuals. We have tested our method on printed and handwritten Bangla and Hindi isolated character images. Initial results demonstrate the efficacy of our approach.