Jenifa Gnanamanickam - Academia.edu (original) (raw)

Papers by Jenifa Gnanamanickam

Advances in intelligent systems and computing, 2018

Keystroke dynamics, an automated method and promising biometric technique, is used to recognize a... more Keystroke dynamics, an automated method and promising biometric technique, is used to recognize an individual, based on an analysis of user’s typing patterns. The processing steps involved in keystroke dynamics are data collection, feature extraction and feature selection. Initially the statistical measures of feature characteristics like latency, duration and digraph are computed during feature extraction. Various advanced optimization techniques are applied by researchers to mimic the behavioral pattern of key stroke dynamics. In this study, Firefly algorithm (FA) is proposed for feature selection. The performance efficiency of FA is computed and compared with existing techniques and found that the convergence rate and iteration generations to reach the optimum solution is 41% and 18% less respectively, as compared to those by other algorithms.

Keystroke dynamics, an automated method and promising biometric technique, is used to recognize a... more Keystroke dynamics, an automated method and promising biometric technique, is used to recognize an individual, based on an analysis of user’s typing patterns. The processing steps involved in keystroke dynamics are data collection, feature extraction and feature selection. Initially the statistical measures of feature characteristics like latency, duration and digraph are computed during feature extraction. Various advanced optimization techniques are applied by researchers to mimic the behavioral pattern of key stroke dynamics. In this study, Firefly algorithm (FA) is proposed for feature selection. The performance efficiency of FA is computed and compared with existing techniques and found that the convergence rate and iteration generations to reach the optimum solution is 41% and 18% less respectively, as compared to those by other algorithms.

Sensors

In recent years, speech recognition technology has become a more common notion. Speech quality an... more In recent years, speech recognition technology has become a more common notion. Speech quality and intelligibility are critical for the convenience and accuracy of information transmission in speech recognition. The speech processing systems used to converse or store speech are usually designed for an environment without any background noise. However, in a real-world atmosphere, background intervention in the form of background noise and channel noise drastically reduces the performance of speech recognition systems, resulting in imprecise information transfer and exhausting the listener. When communication systems’ input or output signals are affected by noise, speech enhancement techniques try to improve their performance. To ensure the correctness of the text produced from speech, it is necessary to reduce the external noises involved in the speech audio. Reducing the external noise in audio is difficult as the speech can be of single, continuous or spontaneous words. In automati...

Advances in intelligent systems and computing, 2018

Keystroke dynamics, an automated method and promising biometric technique, is used to recognize a... more Keystroke dynamics, an automated method and promising biometric technique, is used to recognize an individual, based on an analysis of user’s typing patterns. The processing steps involved in keystroke dynamics are data collection, feature extraction and feature selection. Initially the statistical measures of feature characteristics like latency, duration and digraph are computed during feature extraction. Various advanced optimization techniques are applied by researchers to mimic the behavioral pattern of key stroke dynamics. In this study, Firefly algorithm (FA) is proposed for feature selection. The performance efficiency of FA is computed and compared with existing techniques and found that the convergence rate and iteration generations to reach the optimum solution is 41% and 18% less respectively, as compared to those by other algorithms.

Keystroke dynamics, an automated method and promising biometric technique, is used to recognize a... more Keystroke dynamics, an automated method and promising biometric technique, is used to recognize an individual, based on an analysis of user’s typing patterns. The processing steps involved in keystroke dynamics are data collection, feature extraction and feature selection. Initially the statistical measures of feature characteristics like latency, duration and digraph are computed during feature extraction. Various advanced optimization techniques are applied by researchers to mimic the behavioral pattern of key stroke dynamics. In this study, Firefly algorithm (FA) is proposed for feature selection. The performance efficiency of FA is computed and compared with existing techniques and found that the convergence rate and iteration generations to reach the optimum solution is 41% and 18% less respectively, as compared to those by other algorithms.

Sensors

In recent years, speech recognition technology has become a more common notion. Speech quality an... more In recent years, speech recognition technology has become a more common notion. Speech quality and intelligibility are critical for the convenience and accuracy of information transmission in speech recognition. The speech processing systems used to converse or store speech are usually designed for an environment without any background noise. However, in a real-world atmosphere, background intervention in the form of background noise and channel noise drastically reduces the performance of speech recognition systems, resulting in imprecise information transfer and exhausting the listener. When communication systems’ input or output signals are affected by noise, speech enhancement techniques try to improve their performance. To ensure the correctness of the text produced from speech, it is necessary to reduce the external noises involved in the speech audio. Reducing the external noise in audio is difficult as the speech can be of single, continuous or spontaneous words. In automati...