This paper describes the implementation of two isolated digit recognition techniques and is a comparison between the algorithms implemented. Any digit recognition comprises of mainly two stages feature extraction and similarity evaluation. Here, two feature extraction techniques, namely linear predictive cepstral coefficients (LPCC) and mel frequency cepstral coefficients (MFCC) are implemented and the similarity evaluation is done using Euclidean distance and Dynamic Time Warping (DTW). The results obtained for these algorithms are perused and conclusions are drawn. Keywords- digit recognition; linear predictive cepstral coefficients; mel frequency cepstral coefficients; euclidean distance; dynamic time warping I
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Gesture recognition is a technology often used in human-computer interaction applications. Dynamic t...
Nowadays, the most significant impact of digital image processing in the area of applications are re...
Several techniques have been proposed by many researchers for handwritten as well as printed charact...
This report is a masters thesis written at the Department of Mathematics, Linköping University. Two...
Pattern recognition plays a vital role due to demand in artificial intelligence in practical problem...
Classifier combination is a powerful strategy to support useful solutions in difficult classificatio...
This paper reports the performance of a character recognition test using MNIST hand-written-digit da...
Recognition of handwritten digits is one of computer vision problematics that can not be solved with...
Abstract: Dynamic time warping (DTW) is a famous distance to compare two mono-stroke symbols online....
This paper covers the work done in handwritten digit recognition and the various classifiers that ha...
We propose a modified dynamic time warping (DTW) algorithm that compares gesture-position sequences ...
A comparison between the performance of Latin and Arabic handwritten digits recognition problems is ...
Feature extraction is a crucial and challenging step in many pattern recognition problems and especi...
Abstract — A simple method based on some statistical measurements for Latin handwritten digit recogn...
Typical digit recognizers classify an unknown digit pattern by computing its distance from the clust...
Gesture recognition is a technology often used in human-computer interaction applications. Dynamic t...
Nowadays, the most significant impact of digital image processing in the area of applications are re...
Several techniques have been proposed by many researchers for handwritten as well as printed charact...