MARC details
000 -LIDER |
fixed length control field |
02124nam a22002417a 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
MX-MeUAM |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20191002092058.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
170131s2019 mx ||||fo||d| 00| 0 spa d |
040 ## - CATALOGING SOURCE |
Transcribing agency |
MX-MeUAM |
Language of cataloging |
spa |
050 00 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
TK7868 .P7 |
Item number |
N39 2019 |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Nava Dueñas, Carlos Fábian |
9 (RLIN) |
18663 |
245 10 - TITLE STATEMENT |
Title |
Contributions to OCR for unreadable characters in printed circuit boards by means of pattern matching and machine learning techniques |
Medium |
[recurso electrónico] / |
Statement of responsibility, etc. |
Carlos Fábian Nava Dueñas; director, Félix Fernando González Navarro |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Place of publication, distribution, etc. |
Mexicali, Baja California, |
Date of publication, distribution, etc. |
2019 |
300 ## - PHYSICAL DESCRIPTION |
Extent |
1 recurso en línea,149 p. ; |
Other physical details |
il. col. |
500 ## - GENERAL NOTE |
General note |
Maestría y Doctorado en Ciencias e Ingeniería |
502 ## - DISSERTATION NOTE |
Dissertation note |
Tesis (Doctorado)--Universidad Autónoma de Baja California, Instituto de Ingeniería, Mexicali, 2019. |
520 ## - SUMMARY, ETC. |
Summary, etc. |
In the last few decades, new computer vision technologies and image<br/>processing techniques have been very important in the improvement<br/>and automation of manual processes in many technical areas, e.g.,<br/><br/>in the semiconductor industry. In this thesis, we propose and com-<br/>pare several techniques in the areas of pattern matching and machine<br/><br/>learning to have optical character recognition (OCR) of damaged or<br/>unreadable numerical digit characters from images on printed circuit<br/><br/>boards (PCBs). We describe how the best machine learning algo-<br/>rithms are applied to extract the principal characteristics and fea-<br/>tures to compute, classify and find the correct numerical character<br/><br/>that corresponds to those features. We also present our work in the<br/>improvement of the image quality in the pre-processing stage to make<br/>pattern matching a good option over some specific conditions of PCBs<br/>damage. |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Circuitos impresos |
Fuente del encabezamiento o término |
lemb |
Subdivisión de forma |
Tesis y disertaciones académicas |
Subdivisión general |
Diseño y construcción |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
González Navarro, Félix Fernando |
9 (RLIN) |
14607 |
Relator term |
dir. |
710 2# - ADDED ENTRY--CORPORATE NAME |
Corporate name or jurisdiction name as entry element |
Universidad Autónoma de Baja California. |
Subordinate unit |
Instituto de Ingeniería |
9 (RLIN) |
3321 |
856 4# - ELECTRONIC LOCATION AND ACCESS |
Uniform Resource Identifier |
https://drive.google.com/open?id=1xpi3ZhalG7X9WnNw23c0XaYezca0gryZ |
Public note |
Tesis Digital |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Koha item type |
Tesis |