00000ctm a22000004a 4500 UP-99796217603116288 Buklod 20230503092542.0 m |o d | ta 070713s2002 xx r |||| u|eng d (iLib)UPD-00000179729 DENGII eng LG 993.5 2002 C65 R55 Rioflorido, Christina Leaf recognition Christina Rioflorido, Enrica Roceles, Jenny Rose Sityar. 2002. vii, 29 leaves ill. Thesis (B.S. Computer Science)--University of the Philippines Diliman. We present a method for an automated classification of a particular leaf input as to what leaf species it belongs to. The accuracy of the recognition depends on the number of species used as training set. The Leaf Recognition software is presented in 3 major parts, namely: image processing using Prewitt edge detection algorithm and thinning technique; the neural network based on the backpropagation algorithm; and the actual leaf classification. Image processing Digital techniques Software. Optical pattern recognition Software. Leaf recognition software. Backpropagation algorithm. Roceles, Enrica. Sityar, Jenny Rose. Thesis FI UP UPD DENG-II LG 993.5 2002 C65 R55 Thesis