Animal image recognition system using back propagation neural network (Record no. 337)

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fixed length control field 01387nam a2200169Ia 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200308054357.0
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082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 001.6425 C319 2011
100 ## - MAIN ENTRY--PERSONAL NAME
Preferred name for the person Cabalan, Royneil Robert
245 #0 - TITLE STATEMENT
Title Animal image recognition system using back propagation neural network
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of Publication Cebu City
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of Publisher CIT-U
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Date of Publication 2011
520 ## - SUMMARY, ETC.
Summary, etc The project system is a recognition system that evaluates and recognizes a certain picture of a single animal in a side view position. The image of the animal is a colored one with a white background. The picture is loaded into the system and evaluated by preprocessing methods such as image cropping and image edge detection in order to come up with a boundary-lining image. The image will be fed on the neuronal network called back propagation for the recognition process (e.g. Chicken, Cat) and with corresponding animal sound. One application of the system is that, it could be used as an educational system for children. A child can also use it for him to check images and help him understand the different animals that can be found in the environment. The sample images of animals are usually of great differences in terms of their shape lining. The system uses the following types of animals: Bird, Cat, Chicken, Camel, Duck, Fish, Frog, Goat, Rabbit and Turtle.
526 ## - STUDY PROGRAM INFORMATION NOTE
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          COLLEGE LIBRARY COLLEGE LIBRARY Filipiniana 2019-09-27 001.6425 C319 2011 T1651 2019-09-27 2019-09-27 RESERVED BOOKS