Digit recognition using neocognitron applied to mail zip code identification.
Date of Publication
2000
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Electronics and Communications Engineering
Subject Categories
Electrical and Computer Engineering
College
Gokongwei College of Engineering
Department/Unit
Electronics and Communications Engineering
Abstract/Summary
Mail zip code identification by using the neocognitron neural network to recognize the digit is a step towards improving the mail sorting process. Our present postal system sorts mail manually thereby producing lots of wasted time that could have been converted to useful opportunities. One possible solution is by making the sorting process automated, thus improving the time it takes for the letter to reach its destination. Fast and reliable postal system is what fits our competitive and demanding world today.
For our system, one digit of the zip code should be recognized, then sort the mails to a certain pre-programmed arrangement. A video camera will be used to capture the zip code. Then the computer will send signals to the sorting mechanisms, in this case a conveyor and rotating dish both driven by a motor, to direct the mail to its proper box. Interfacing circuits will also be used in order for the computer to know when to begin and end image capturing process. Similarly, a program interface will be created that will facilitate the communications between the computer and the rotating dish. The tricky part of this thesis is the reliability of the algorithm in recognizing and interpreting handwritten and typewritten zip codes.
Abstract Format
html
Language
English
Format
Accession Number
TU09610
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Physical Description
66 numb. leaves ; Computer print-out.
Keywords
Optical character recognition devices; Area identification; Zip codes
Recommended Citation
Padura, J. T., Saavedra, R. G., Santos, A., Sy, R. S., & Yu, K. L. (2000). Digit recognition using neocognitron applied to mail zip code identification.. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/10265