V
Venu Govindaraju
Researcher at University at Buffalo
Publications - 474
Citations - 11871
Venu Govindaraju is an academic researcher from University at Buffalo. The author has contributed to research in topics: Handwriting recognition & Word recognition. The author has an hindex of 53, co-authored 468 publications receiving 11215 citations. Previous affiliations of Venu Govindaraju include State University of New York System.
Papers
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Journal ArticleDOI
Offline Arabic handwriting recognition: a survey
L.M. Lorigo,Venu Govindaraju +1 more
TL;DR: This paper is the first survey to focus on Arabic handwriting recognition and the first Arabic character recognition survey to provide recognition rates and descriptions of test data for the approaches discussed.
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Fingerprint enhancement using STFT analysis
TL;DR: A new approach for fingerprint enhancement based on short time Fourier transform (STFT) Analysis is introduced and the algorithm simultaneously estimates all the intrinsic properties of the fingerprints such as the foreground region mask, local ridge orientation and local ridge frequency.
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Behavioural biometrics: a survey and classification
TL;DR: A survey and classification of the state-of-the-art in behavioural biometrics which is based on skills, style, preference, knowledge, motor-skills or strategy used by people while accomplishing different everyday tasks.
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A lexicon driven approach to handwritten word recognition for real-time applications
Gyeonghwan Kim,Venu Govindaraju +1 more
TL;DR: Experimental results prove that the approach using the variable duration outperforms the method using fixed duration in terms of both accuracy and speed.
Journal ArticleDOI
A minutia-based partial fingerprint recognition system
Tsai-Yang Jea,Venu Govindaraju +1 more
TL;DR: This work presents an approach that uses localized secondary features derived from relative minutiae information that is directly applicable to existing databases and balances the tradeoffs between maximizing the number of matches and minimizing total feature distance between query and reference fingerprints.