Person: Prem Natarajan

DBLP: Natarajan:Prem

Contributed to:

2015

2014

2013

2012

2011

2010

Wrote 10 papers:

DRR-2015-PengCN #approach #using

Boost OCR accuracy using iVector based system combination approach (XP, HC, PN).

ICPR-2014-ChenWCN #detection #fault #modelling #network

Confusion Network Based Recurrent Neural Network Language Modeling for Chinese OCR Error Detection (JC, YW, HC, PN), pp. 1266–1271.

ICDAR-2013-PengCSPN #documentation

Exploiting Stroke Orientation for CRF Based Binarization of Historical Documents (XP, HC, KS, RP, PN), pp. 1034–1038.

ICPR-2012-CaoCDPN #documentation #recognition

Document recognition and translation system for unconstrained Arabic documents (HC, JC, JD, RP, PN), pp. 318–321.

ICPR-2012-CaoSPCPN

Extracting information from handwritten content in census forms (HC, KS, XP, JC, RP, PN), pp. 306–309.

ICDAR-2011-CaoPN #adaptation #identification #recognition

OCR-Driven Writer Identification and Adaptation in an HMM Handwriting Recognition System (HC, RP, PN), pp. 739–743.

ICDAR-2011-CaoPN11a #identification #markov #modelling #recognition #using

Handwritten and Typewritten Text Identification and Recognition Using Hidden Markov Models (HC, RP, PN), pp. 744–748.

ICDAR-2011-ManoharVCPN #clustering #graph #segmentation

Graph Clustering-Based Ensemble Method for Handwritten Text Line Segmentation (VM, SNPV, HC, RP, PN), pp. 574–578.

ICDAR-2011-NatarajanBPKSN #recognition

Baseline Dependent Percentile Features for Offline Arabic Handwriting Recognition (PN, DB, RP, MK, KS, PN), pp. 329–333.

ICPR-2010-PrasadKBRMN #network #recognition

Consensus Network Based Hypotheses Combination for Arabic Offline Handwriting Recognition (RP, MK, DB, AVIR, SM, PN), pp. 2861–2864.