Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Junichi Kanai"'
Autor:
Junichi Kanai, Samuel Chiappone
Publikováno v:
2011 ASEE Annual Conference & Exposition Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82922506fd4e71d7b4b10f089d3d59c7
https://doi.org/10.18260/1-2--18475
https://doi.org/10.18260/1-2--18475
Publikováno v:
2011 ASEE Annual Conference & Exposition Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::809c3f60e99aba2ca64e26b7babc18ea
https://doi.org/10.18260/1-2--17486
https://doi.org/10.18260/1-2--17486
Autor:
Junichi Kanai, Mark Anderson
Publikováno v:
2013 ASEE Annual Conference & Exposition Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e3de30a03142b22cad7ef6bb8bfc35c
https://doi.org/10.18260/1-2--22413
https://doi.org/10.18260/1-2--22413
Publikováno v:
2010 Annual Conference & Exposition Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6d533e850668945180926ff1f61f2b9
https://doi.org/10.18260/1-2--15785
https://doi.org/10.18260/1-2--15785
Autor:
Mark Steiner, Junichi Kanai
Publikováno v:
2016 ASEE Annual Conference & Exposition Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4812527542805dc93a06533e1b78f658
https://doi.org/10.18260/p.27134
https://doi.org/10.18260/p.27134
Autor:
Andrew D. Bagdanov, Junichi Kanai
Publikováno v:
ICDAR
A new projection profile based algorithm that extracts fiducial points needed to estimate a skew angle by decoding a JBIG compressed image is presented. This algorithm and three other projection profile based algorithms were tested using 460 page ima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7902e8299cb090deba25ff20379d4674
https://doi.org/10.1007/s100320050005
https://doi.org/10.1007/s100320050005
Publikováno v:
Image and Vision Computing. 17:913-921
Edge enhancement is an important image processing method for remote sensing image data. Many images are compressed by JPEG standard which uses Discrete Cosine Transform (DCT). Since most coefficients in the DCT domain are small and can be quantized t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56a88b70ff9635acadaa7fa5ad810330
https://doi.org/10.1016/s0262-8856(98)00165-6
https://doi.org/10.1016/s0262-8856(98)00165-6
Autor:
Junichi Kanai
Publikováno v:
International Journal of Imaging Systems and Technology. 7:363-369
The performance of document image analysis systems is affected by a variety of variables that alter the quality of documents. Objective evaluation and characterization of systems usually require large quantities of test data, and it is important to a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65e8b3f52cca34bfe76ca505f47772c4
https://doi.org/10.1002/(sici)1098-1098(199624)7:4<363::aid-ima11>3.0.co
https://doi.org/10.1002/(sici)1098-1098(199624)7:4<363::aid-ima11>3.0.co
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 17:86-90
Many current optical character recognition (OCR) systems attempt to decompose printed pages into a set of zones, each containing a single column of text, before converting the characters into coded form. The authors present a methodology for automati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53884fa7463826ae997485a69b9ed260
https://doi.org/10.1109/34.368146
https://doi.org/10.1109/34.368146
Publikováno v:
Document Image Analysis
When optical character recognition (OCR) devices process the same page image, they generate similar text strings. Differences are due to recognition errors. A page of text rarely contains long repeated substrings; therefore, N strings generated by OC
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45feb83ea9677a22b0ac6d5d45ce7564
https://doi.org/10.1142/s0218001494000632
https://doi.org/10.1142/s0218001494000632