DocumentCode :
2653774
Title :
Offline handwritten Jawi recognition using the trace transform
Author :
Nasrudin, M.F. ; Petrou, M.
Author_Institution :
Centre for Artificial Intell. Technol., Univ. Kebangsaan Malaysia, Bangi, Malaysia
Volume :
1
fYear :
2011
fDate :
28-29 June 2011
Firstpage :
87
Lastpage :
91
Abstract :
The Trace transform, a generalization of the Radon transform, allows one to construct image features that are invariant to a chosen group of image transformations. In this paper, we use features that are known as object signatures, which are invariant to affine distortion, generated by the trace transform to discriminate between offline handwritten Jawi sub words. The process consists of tracing an image with straight lines, along which certain functionals of the image function are calculated, in all possible orientations. For each combination of functionals we derive the object signature which is a function of orientation of the tracing lines. In this paper, we demonstrate the usefulness of the derived signature and compare the result of the recognition with those obtained by using features based on affine moment invariants and angular radial transforms.
Keywords :
Radon transforms; feature extraction; handwritten character recognition; image recognition; natural language processing; Radon transform; affine distortion; affine moment invariant; angular radial transform; image features; image function; image tracing; image transformation; object signatures; offline handwritten Jawi recognition; offline handwritten Jawi subwords; straight lines; trace transform; tracing line orientation; Character recognition; Feature extraction; Handwriting recognition; Image recognition; Shape; Subspace constraints; Transforms; ART; Handwritten Recognition; Jawi; Trace transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Analysis and Intelligent Robotics (ICPAIR), 2011 International Conference on
Conference_Location :
Putrajaya
Print_ISBN :
978-1-61284-407-7
Type :
conf
DOI :
10.1109/ICPAIR.2011.5976917
Filename :
5976917
Link To Document :
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