Nowadays the computer speed is much faster than before, however well-trained humans are still the best pattern recognizer. In this paper we propose a fingerprint recognition method which is based on humanoid algorithms. Because fingerprint patterns are fuzzy in nature and ridge endings are changed easily by scars, we try to only use ridge bifurcation as fingerprints minutiae and also design a “...

In recent years, fuzzy logic has been increasingly used to improve conventional methods. This paper proposes fuzzy-logic based improvements to the n-tuple recognizer algorithm. The original n-tuple method works by matching bunches of n pixels exactly between the test images and the template images. In the proposed method, new concepts such as ‘Importance of Tuple’ and ‘Degree of Match’ of a tup...

In our recent paper we have established close relationships between state reduction of a fuzzy recognizer and resolution of a particular system of fuzzy relation equations. In that paper we have also studied reductions by means of those solutions which are fuzzy equivalences. In this paper we will see that in some cases better reductions can be obtained using the solutions of this system that a...

In this paper a fuzzy search algorithm is proposed to deal with the recognition error for telephone speech. Since the prosodic information is a very special and important feature for Mandarin speech, we integrate the prosodic information into keyword verification. For multi-keyword detection, we define a keyword relation and a weighting function for reasonable keyword combinations. In the keywo...

The capability of Kasuba’s Simplified Fuzzy ARTMAP (SFAM) to behave as a Pattern Recognizer/Classifier of images both noisy and noise free has been investigated in this paper. This calls for augmenting the original Neuro–Fuzzy model with a modified moment-based RST invariant feature extractor. The potential of the SFAM based Pattern Recognizer to recognize patterns — monochrome and color, noisy...

A fingerprint recognizing system is built with two principal components: the fingerprint administrator and the fingerprint recognizer. Fingerprints are identified by their special features such as ridge endings, ridge bifurcation, short ridges, and ridge enclosures, which are collectively called the minutiae. The fingerprint administrator uses the method of gray scale ridge tracing backed up by...

A fingerprint recognizing system is built with two principal components: the fingerprint administrator and the fingerprint recognizer. Fingerprints are identified by their special features such as ridge endings, ridge bifurcation, short ridges, and ridge enclosures, which are collectively called the minutiae. It explains the finger print characteristics that are used to identify individuals and...

This paper presents a two-stage handwriting recognizer for classification of isolated characters that exploits explicit knowledge on characters’ shapes and execution plans. The first stage performs prototype extraction of the training data using a Fuzzy ARTMAP based method. These prototypes are able to improve the performance of the second stage consisting of LVQ codebooks by means of providing...