CINECA IRIS Institutional Research Information System
IRIS è la soluzione IT che facilita la raccolta e la gestione dei dati relativi alle attività e ai prodotti della ricerca. Fornisce a ricercatori, amministratori e valutatori gli strumenti per monitorare i risultati della ricerca, aumentarne la visibilità e allocare in modo efficace le risorse disponibili.
EnglishThe classification of handwritten digits through an analog feature extractor chip and neural classifier is discussed in this paper. The chip implements a feature extraction algorithm onto analog circuits; it extracts a set of 112 features from the input character (32 x 24 binary pixel matrix). The features, coded by current signals, are given in input to a neural classifier which performs the recognition task. The chip validation results are reported: a set of handwritten digits have been classified by a neural network implementation by a software simulator. The resulting classification error rate has been successfully compared with the ones obtained by high level mo0del of the chip and to those obtained with other techniques reported in the literature.
Scheda prodotto non validato
Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo
| Titolo: | Recognizing Handwritten Digits with a Dedicated Analog VLSI Feature Extractor | |
| Autori: | ||
| Data di pubblicazione: | 1998 | |
| Abstract: | The classification of handwritten digits through an analog feature extractor chip and neural classifier is discussed in this paper. The chip implements a feature extraction algorithm onto analog circuits; it extracts a set of 112 features from the input character (32 x 24 binary pixel matrix). The features, coded by current signals, are given in input to a neural classifier which performs the recognition task. The chip validation results are reported: a set of handwritten digits have been classified by a neural network implementation by a software simulator. The resulting classification error rate has been successfully compared with the ones obtained by high level mo0del of the chip and to those obtained with other techniques reported in the literature. | |
| Handle: | http://hdl.handle.net/11567/201489 | |
| ISBN: | 9783540762638 | |
| Appare nelle tipologie: | 04.01 - Contributo in atti di convegno |
File in questo prodotto:
Copyright © 2022