NDLI: Writer Identification of Bangla Handwritings by Radon Transform Projection Profile

Content Provider	IEEE Xplore Digital Library
Author	Biswas, S. Das, A.K.
Copyright Year	2012
Abstract	Writer identification is the task of determining the person whose handwritten sample is available in a set of writings, collected from multitude of writers. This has useful applications in many areas, notably in forensic analysis. The task of writer identification is quite difficult due to minimal variations found in different handwritten samples from same person/writer. Several identification algorithms have been proposed so far which are mostly for non-Indic writings. This paper presents a new approach for extracting two different sets of components (essentially fragments of characters), namely fragment set-A and fragment set-B. Features are extracted from each element of these two sets to identify the writing style of a particular person. The features are computed based on Radon transform projection profile. The proposed approach uses lesser amount of information from the handwritten samples, thus saving computation time as well as memory requirement. The condition to determine that the writer is unknown (i.e., there is no handwritten sample from that writer in reference base) is also proposed. The approach is tested on a collected dataset of Bangla writings and the experimental results are encouraging.
Starting Page	215
Ending Page	219
File Size	205491
Page Count	5
File Format	PDF
ISBN	9781467308687
e-ISBN	9780769546612
DOI	10.1109/DAS.2012.98
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-03-27
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Bangla Language Histograms Transforms Writing Radon transform Feature extraction Handwritten document image Vectors Allograph Indexes Writing style
Content Type	Text
Resource Type	Article

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