Animal image recognition system using back propagation neural network
By: Cabalan, Royneil Robert
Publisher: Cebu City ; CIT-U ; 2011DDC classification: 001.6425 C319 2011 Summary: 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.| Item type | Current location | Home library | Call number | Status | Date due | Barcode | Item holds |
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COLLEGE LIBRARY | COLLEGE LIBRARY Filipiniana | 001.6425 C319 2011 (Browse shelf) | Available | T1651 |
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| 001.6425 Al13 2002 Operating systems: basic concepts/ | 001.6425 Al13 2002 Operating systems: basic concepts/ | 001.6425 Al13 2002 Operating systems: basic concepts/ | 001.6425 C319 2011 Animal image recognition system using back propagation neural network | 001.942599 Z54 1987 Philippine UFOs?: an anthology of strange real-life UFO encounters in the country/ | 002.09599 H43 1996 History of books and libraries in the Philippines 1521-1900 / | 002.09599 J978 2008 Tagalog bestsellers of the twentieth century : a history of the book in the Philippines/ |
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.
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