Research ArticleOpen accessPhrase in the titleFEED FORWARD BACK PROPAGATION NEURAL NETWORK BASED CHARACTER RECOGNITION SYSTEM FOR TAMIL PALM LEAF MANUSCRIPTSJ. Ramya, B. ParvathavarthiniOptical character recognition refers to the process of translating segmented hand-written images or typewritten images into machine editable text. In this study, we propose a Tamil palm leaf manuscripts character recognition system using FFBNN technology. First the palm leaf manuscripts characters are segmented by exploiting the sliding window and adaptive histogram calculation. Afterwards, these segmented characters are assembled and then … …Journal of Computer Science, Vol. 10, Issue 4 · 21 Dec 2013 · 7,160 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleA Hybrid Speech Recognition System with Hidden Markov Model and Radial Basis Function Neural NetworkJudith Justin, Ila VennilaWe analyze the performance of continuous speech recognition of a speaker independent system using Hidden Markov Model and Artificial Neural Network. Modern speech recognition systems use different combinations of the standard techniques over the basic approach to improve performance accuracy. One such combination which has gained more attention is the hybrid model. Our hybrid system for continuous speech recognition consists … …American Journal of Applied Sciences, Vol. 10, Issue 10 · 5 Sep 2013 · 6,819 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleA Hybrid Model for Human Recognition System Using Hand Dorsum Geometry and Finger-Knuckle-PrintB. Mathivanan, V. Palanisamy, S. SelvarajanThis study focuses on developing an efficient person identification and recognition system using hand based biometrics for secured access control. In most of the previous works on hand-based recognition methods, mostly, the importance was not given to the top side of the hand, which is used in this model. Iin our previous work we have developed a Hand based biometric … …Journal of Computer Science, Vol. 8, Issue 11 · 8 Sep 2012 · 6,867 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleA Vehicle License Plate Detection and Recognition SystemKhalid W. MagladProblem statement: Automatic vehicle license plate detection and recognition is a key technique in most of traffic related applications and is an active research topic in the image processing domain. Different methods, techniques and algorithms have been developed for license plate detection and recognitions. Approach: Due to the varying characteristics of the license plate from country to country like numbering … …Journal of Computer Science, Vol. 8, Issue 3 · 7 Jan 2012 · 9,008 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleA New Speaker Recognition System with Combined Feature Extraction TechniquesM. G. Sumithra, K. Thanuskodi, A. Helen Jenifer ArchanaProblem statement: This study introduces a new method for speaker verification system by fusing two different feature extraction methods to improve the recognition accuracy and security. Approach: The proposed system uses Mel frequency cepstral coefficients for speaker identification and Modified MFCC for verification. For speaker modeling vector quantization is used. Results: The proposed system was investigated the effect of the … …Journal of Computer Science, Vol. 7, Issue 4 · 4 Apr 2011 · 7,424 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleA Tool to Develop Arabic Handwriting Recognition System Using Genetic ApproachHanan Aljuaid, Zulkifli Muhammad, Muhammad SarfrazProblem statement: Significant movement has been made in handwriting recognition technology over the last few years. Up until now, Arabic handwriting recognition systems have been limited to small and medium vocabulary applications, since most of them often rely on a database during the recognition process. The facility of dealing with large database, however, opens up many more applications. Approach: This … …Journal of Computer Science, Vol. 6, Issue 6 · 30 Jun 2010 · 7,525 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleAccurate Iris Segmentation Method for Non-Cooperative Iris Recognition SystemAbdulsamad Ebrahim Yahya, Md Jan NordinProblem statement: Iris segmentation is one of the most important steps in iris recognition system and determines the accuracy of matching. Most segmentation methods in the literature assumed that the inner and outer boundaries of the iris were circular. Hence, they focus on determining model parameters that best fit these hypotheses. This is a source of error, since the iris … …Journal of Computer Science, Vol. 6, Issue 5 · 31 May 2010 · 6,976 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleAutomatic Arabic Hand Written Text Recognition SystemIsmael Ahmad JannoudDespite of the decent development of the pattern recognition science applications in the last decade of the twentieth century and this century, text recognition remains one of the most important problems in pattern recognition. To the best of our knowledge, little work has been done in the area of Arabic text recognition compared with those for Latin, Chins and Japanese … …American Journal of Applied Sciences, Vol. 4, Issue 11 · 30 Nov 2007 · 7,315 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleA Proposed Optical Music Mark Recognition SystemIsmael JannoudThe optical music symbol recognition system still has many challenges. Most of issues focused on the recognition of the individual marks in the input concert documents. In this study a new and efficient model for optical music recognition (OMR) was proposed. The music marks was recognized and played by the computer OMR system automatically. A stored file of music documents … …Journal of Computer Science, Vol. 1, Issue 2 · 19 Oct 2005 · 4,890 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleAn Intelligent Multilingual Mouse Gesture Recognition SystemNidal F. Shilbayeh, Mahmoud Z. IskandaraniA comprehensive mouse gesture system is designed and tested successfully. The system is based on UNIPEN algorithm in terms of mouse movements and applies its geometrical principles such as angles and transposition steps. The system incorporates Neural Networks as its learning and recognition engine. The designed algorithm is not only capable of translating discrete gesture moves, but also continuous sentences … …Journal of Computer Science, Vol. 1, Issue 3 · 30 Sep 2005 · 7,126 accessesView PDFCite