Abstract: Braille is one of the major tools for teaching the visually impaired. Sufficient number of teachers engaged in special education involved in Filipino Braille is not available. One of the possible approaches to address this problem is the use of computers in automation of extracting information in Braille that can facilitate teaching. Other countries have taken their initiative to develop similar technology capable of teaching Braille however the Filipino Braille code including its contractions, and the Filipino language per se has features that are distinct to other languages. This research proposes a system that use machine vision in recognizing one-cell Filipino Braille contractions. Scanned Braille images undergo image processing and HOG feature extraction to train the system classifier thru SVM. Performance evaluation results reflect a high accuracy of recognition.