Travelled to:
1 × Brazil
1 × China
1 × France
1 × Germany
1 × Japan
1 × Korea
1 × Spain
1 × Turkey
2 × United Kingdom
9 × USA
Collaborated with:
J.Sun Y.Hotta Y.Zhu K.Fujimoto H.Takebe M.Suwa W.Fan Y.He A.Minagawa P.Pan Y.Katsuyama X.Yin M.Cheriet C.Y.Suen M.Yabuki H.Hao H.Yu K.Huang Y.Fujii A.Ohara S.Chen R.Liu Y.Wang Y.Pan Y.Li A.Souza S.Xie C.Wu Y.Tang N.Ozawa H.Yokota Z.Wang F.Nishino K.Kurokawa
Talks about:
imag (13) recognit (10) charact (9) base (8) use (8) handwritten (7) document (6) camera (6) featur (5) text (5)
Person: Satoshi Naoi
DBLP: Naoi:Satoshi
Contributed to:
Wrote 31 papers:
- DRR-2015-Fan0N #documentation #image #performance
- Separation of text and background regions for high performance document image compression (WF, JS, SN).
- DocEng-2014-Fan0N #using
- Paper stitching using maximum tolerant seam under local distortions (WF, JS, SN), pp. 35–44.
- ICDAR-2013-HePXSN #3d #bound #re-engineering
- A Book Dewarping System by Boundary-Based 3D Surface Reconstruction (YH, PP, SX, JS, SN), pp. 403–407.
- ICDAR-2013-Zhu0N #learning #recognition
- Sub-structure Learning Based Handwritten Chinese Text Recognition (YZ, JS, SN), pp. 295–299.
- ICPR-2012-ChenH0N #classification #documentation
- Structured document classification by matching local salient features (SC, YH, JS, SN), pp. 653–656.
- ICPR-2012-LiuWYN #correlation #image
- A renewed image annotation baseline by image embedding and tag correlation (RL, YW, HY, SN), pp. 3216–3219.
- ICPR-2012-WuFH0N #network #recognition
- Cascaded heterogeneous convolutional neural networks for handwritten digit recognition (CW, WF, YH, JS, SN), pp. 657–660.
- ICPR-2012-Zhu0N #normalisation #recognition
- Discriminative normalization method for handwritten Chinese character recognition (YZ, JS, SN), pp. 274–277.
- DRR-2011-FanSNMH #feature model #recognition
- Natural scene logo recognition by joint boosting feature selection in salient regions (WF, JS, SN, AM, YH), pp. 1–10.
- ICDAR-2011-PanZSN #invariant #using
- Recognizing Characters with Severe Perspective Distortion Using Hash Tables and Perspective Invariants (PP, YZ, JS, SN), pp. 548–552.
- ICDAR-2011-PanZSN11a #adaptation #detection #segmentation #verification
- Improving Scene Text Detection by Scale-Adaptive Segmentation and Weighted CRF Verification (YFP, YZ, JS, SN), pp. 759–763.
- ICDAR-2011-YinHSN #detection #documentation #robust
- Robust Vanishing Point Detection for MobileCam-Based Documents (XCY, HWH, JS, SN), pp. 136–140.
- DRR-2010-HeSNMH #image
- Enhancement of camera-based whiteboard images (YH, JS, SN, AM, YH), pp. 1–10.
- ICPR-2010-PanMSHN #adaptation #estimation #using #video
- A Dual Pass Video Stabilization System Using Iterative Motion Estimation and Adaptive Motion Smoothing (PP, AM, JS, YH, SN), pp. 2298–2301.
- ICDAR-2009-SunNFTH #detection #image #string
- Trinary Image Mosaicing Based Watermark String Detection (JS, SN, YF, HT, YH), pp. 306–310.
- ICDAR-2009-YinHTSN #classification #multi #recognition
- Rejection Strategies with Multiple Classifiers for Handwritten Character Recognition (XCY, HWH, YFT, JS, SN), pp. 1126–1130.
- ICDAR-2009-ZhuSMHN #classification #feature model
- Separate Chinese Character and English Character by Cascade Classifier and Feature Selection (YZ, JS, AM, YH, SN), pp. 1191–1195.
- DRR-2007-Fujimoto0TSN #documentation #image #parallel
- Shape from parallel geodesics for distortion correction of digital camera document images (KF, JS, HT, MS, SN).
- ICDAR-2007-FujimotoSTSN #documentation #image #parallel #programming #using
- Curved paper rectification for digital camera document images by shape from parallel geodesics using continuous dynamic programming (KF, JS, HT, MS, SN), pp. 267–271.
- ICDAR-2007-HuangSHFN #approach #difference #recognition #using
- An SVM-Based High-accurate Recognition Approach for Handwritten Numerals by Using Difference Features (KH, JS, YH, KF, SN), pp. 589–593.
- ICDAR-2007-SunHHFN #classification #recognition
- Degraded Character Recognition by Complementary Classifiers Combination (JS, KH, YH, KF, SN), pp. 579–583.
- ICDAR-2007-YinSNFFKT #documentation #image #mobile #multi
- A Multi-Stage Strategy to Perspective Rectification for Mobile Phone Camera-Based Document Images (XCY, JS, SN, KF, YF, KK, HT), pp. 574–578.
- ICDAR-2005-HottaTSN #recognition #word
- Accuracy Improvement for Handwritten Japanese Word Recognition by Combination of Character and Word Recognizer (YH, HT, MS, SN), pp. 685–689.
- ICDAR-2005-SunHKN #recognition #using
- Camera based Degraded Text Recognition Using Grayscale Feature (JS, YH, YK, SN), pp. 182–186.
- DRR-2004-OzawaTKNY #identification #image
- Slide identification for lecture movies by matching characters and images (NO, HT, YK, SN, HY), pp. 74–81.
- ICPR-v2-2004-LiNCS #segmentation
- A Segmentation Method for Touching Italic Characters (YL, SN, MC, CYS), pp. 594–597.
- DRR-2003-SuwaN #algorithm #composition #image #using
- Separation algorithm of superimposed pattern using directional decomposition of an image (MS, SN), pp. 278–285.
- DocEng-2003-SunWYNKN #effectiveness #image #recognition
- Effective text extraction and recognition for WWW images (JS, ZW, HY, FN, YK, SN), pp. 115–117.
- ICDAR-2003-SouzaCNS #assessment #automation #image #quality #using
- Automatic Filter Selection Using Image Quality Assessment (AS, MC, SN, CYS), p. 508–?.
- ICDAR-2001-FujimotoON #image
- A Ruled-Line Extraction Method for Digital Camera Images (KF, AO, SN), pp. 297–301.
- ICDAR-1997-NaoiY #automation #information management
- Global Interpolation Method II for Handwritten Numbers Overlapping a Border by Automatic Knowledge Acquisition of Overlapped Condition (SN, MY), pp. 540–543.