Browsing by Author "Bajeh, Amos O"
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Item Evaluation of an Optical Character Recognition Model For Yoruba Text(Tibiscus University, 2019-01) Akintola, Abimbola G; Ibiyemi, Tunji S; Bajeh, Amos OThe optical character recognition (OCR) for different languages has been developed and in use with diverse applications over the years. The development of OCR enables the digitization of paper document that would have been neglected over a period of time as well as serving as a form of backup for those documents. The system proposed is for isolated characters of Yoruba language. Yoruba language is a tonal language that carries accent on the vowel alphabets. The process used involves image gray scal, binarization, de-skew, and segmentation. Thus, the OCR enable the system read the images and convert them to text data. The proposed model was evaluated using the information retrieval metrics: Precision and Recall. Results showed a significant performance with a recall of 100% in the sample document used, and precision results that varies between 76%, 97%, and 100% in the sample document.The optical character recognition (OCR) for different languages has been developed and in use with diverse applications over the years. The development of OCR enables the digitization of paper document that would have been neglected over a period of time as well as serving as a form of backup for those documents. The system proposed is for isolated characters of Yoruba language. Yoruba language is a tonal language that carries accent on the vowel alphabets. The process used involves image gray scal, binarization, de-skew, and segmentation. Thus, the OCR enable the system read the images and convert them to text data. The proposed model was evaluated using the information retrieval metrics: Precision and Recall. Results showed a significant performance with a recall of 100% in the sample document used, and precision results that varies between 76%, 97%, and 100% in the sample document.Item GNS 312: Digital Skill Acquisition Textbook(University of Ilorin Press, 2018) Ameen, Ahmed O; Bajeh, Amos O; Babatunde, A O; Hamza-Usman, F EItem A Survey of Empirical Studies on Performance Enhancement Features for IR-Based Bug Localization Process(Afr. J. Comp. & ICT, 2018) Salihu, Shakirat A.; Abikiye, Oluwakemi C.; Bajeh, Amos O; Akintola, Abimbola G.Software is inevitable to have bugs. Localization of bugs has attracted many researchers due to its importance in software maintenance. Automation of Bug localization using Information Retrieval (IR) -Based approach has been proposed to attract more researchers due to its relatively low computational cost. Despite this automation, localization of bugs still takes the developers many hours or days to locate bugs. This paper tends to do a survey of some features that can be added to IR-Based bug localization process to enhance its performance and give a better result in terms of accuracy. The result from the six tools considered for this survey shows that there is an improvement in those with enhancement features compare with the baseline that has no enhancement features. The top N, MAP and MRR values of these tools outperform the technique without any enhancement.