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ICDAR
2009
IEEE
16 years 1 months ago
Evaluating Retraining Rules for Semi-Supervised Learning in Neural Network Based Cursive Word Recognition
Training a system to recognize handwritten words is a task that requires a large amount of data with their correct transcription. However, the creation of such a training set, inc...
Volkmar Frinken, Horst Bunke
ICDAR
2009
IEEE
16 years 1 months ago
Robust Recognition of Documents by Fusing Results of Word Clusters
The word error rate of any optical character recognition system (OCR) is usually substantially below its component or character error rate. This is especially true of Indic langua...
Venkat Rasagna, Anand Kumar 0002, C. V. Jawahar, R...
ICB
2009
Springer
137views Biometrics» more  ICB 2009»
16 years 1 months ago
Direct Pore Matching for Fingerprint Recognition
Abstract. Sweat pores on fingerprints have proven to be useful features for personal identification. Several methods have been proposed for pore matching. The state-of-the-art meth...
Qijun Zhao, Lei Zhang, David Zhang, Nan Luo
ICASSP
2008
IEEE
16 years 1 months ago
A multi-class MLLR kernel for SVM speaker recognition
Speaker recognition using support vector machines (SVMs) with features derived from generative models has been shown to perform well. Typically, a universal background model (UBM)...
Zahi N. Karam, William M. Campbell
ICMCS
2008
IEEE
174views Multimedia» more  ICMCS 2008»
16 years 1 months ago
Cascaded classification with optimal candidate selection for effective place recognition
A two-stage cascaded classification approach with an optimal candidate selection scheme is proposed to recognize places using images taken by camera phones. An optimal acceptance ...
Yiqun Li, Joo-Hwee Lim, Hanlin Goh