Person: Flávio Bortolozzi

DBLP: Bortolozzi:Fl=aacute=vio

Contributed to:

2013

2008

2007

2006

2003

2002

2002

2001

2000

1999

1996

1995

Wrote 22 papers:

ICDAR-2013-AmaralFB #feature model #forensics #identification

Feature Selection for Forensic Handwriting Identification (AMMMA, COdAF, FB), pp. 922–926.

SAC-2008-HanaFOB #classification

Crime scene classification (ROAH, COdAF, LSO, FB), pp. 419–423.

SAC-2007-FreitasOAB #recognition

Zoning and metaclasses for character recognition (COdAF, LSO, SBKA, FB), pp. 632–636.

SAC-2007-NevesCFB

A table-form extraction with artefact removal (LAPN, JMdC, JF, FB), pp. 622–626.

SAC-2007-SantosBOJ #approach #documentation #forensics #verification

Off-line signature verification based on forensic questioned document examination approach (CRS, FB, LSO, EJRJ), pp. 637–638.

SAC-2006-CavalinBBSO #recognition #string

An implicit segmentation-based method for recognition of handwritten strings of characters (PRC, AdSBJ, FB, RS, LESdO), pp. 836–840.

SAC-2006-NevesCFB #knowledge base

A new table interpretation methodology with little knowledge base: table interpretation methodology (LAPN, JMdC, JF, FB), pp. 847–852.

ICDAR-2003-MoritaSBS #recognition #verification #word

A Recognition and Verification Strategy for Handwritten Word Recognition (MEM, RS, FB, CYS), p. 482–?.

ICDAR-2003-MoritaSBS03a #algorithm #feature model #multi #recognition #search-based #using #word

Unsupervised Feature Selection Using Multi-Objective Genetic Algorithms for Handwritten Word Recognition (MEM, RS, FB, CYS), pp. 666–670.

ICDAR-2003-OliveiraSBS #algorithm #approach #feature model #multi #search-based

Feature Selection for Ensembles: A Hierarchical Multi-Objective Genetic Algorithm Approach (LESdO, RS, FB, CYS), p. 676–?.

ICPR-v1-2002-OliveiraSBS #algorithm #feature model #multi #recognition #search-based #using

Feature Selection Using Multi-Objective Genetic Algorithms for Handwritten Digit Recognition (LESdO, RS, FB, CYS), pp. 568–571.

ICPR-v4-2002-BrittoSBS #predict #recognition #string

A String Length Predictor to Control the Level Building of HMMs for Handwritten Numeral Recognition (AdSBJ, RS, FB, CYS), pp. 31–34.

ICDAR-2001-BrittoSBS #string

A Two-Stage HMM-Based System for Recognizing Handwritten Numeral Strings (AdSBJ, RS, FB, CYS), pp. 396–400.

ICDAR-2001-FreitasBS #approach #recognition #set #validation #word

Handwritten Isolated Word Recognition: An Approach Based on Mutual Information for Feature Set Validation (COdAF, FB, RS), pp. 665–669.

ICDAR-2001-JustinoBS #random #using #verification

Off-line Signature Verification Using HMM for Random, Simple and Skilled Forgeries (EJRJ, FB, RS), pp. 1031–1034.

ICDAR-2001-MoritaSEBS #recognition #word

Handwritten Month Word Recognition on Brazilian Bank Checks (MEM, RS, MAEY, FB, CYS), pp. 972–976.

ICDAR-2001-OliveiraSBS #composition

A Modular System to Recognize Numerical Amounts on Brazilian Bank Checks (LESdO, RS, FB, CYS), pp. 389–395.

ICPR-v2-2000-OliveiraLBS #approach #segmentation

A New Segmentation Approach for Handwritten Digits (LESdO, EL, FB, RS), pp. 2323–2326.

ICDAR-1999-MoritaFBGS

Mathematical Morphology and Weighted Least Squares to Correct Handwriting Baseline Skew (MEM, JF, FB, SJAG, RS), pp. 430–433.

ICPR-1996-DiasBD #classification #identification #using

Results of the use of Bayesian classifiers for identification of breast cancer cell nuclei (ÂVD, FB, MRD), pp. 508–512.

ICPR-1996-MurshedBS #approach #classification #detection #fuzzy #problem

A fuzzy ARTMAP-based classification system for detecting cancerous cells, based on the one-class problem approach (NAM, FB, RS), pp. 478–482.

ICDAR-v1-1995-MurshedBS #approach #verification

Off-line signature verification, without a priori knowledge of class /spl omega//sub 2/. A new approach (NAM, FB, RS), pp. 191–196.